ALBERT

Beschreibung: 〈div data-abstract-type="normal"〉〈p〉We argue in this article that the social and economic conditions in the Angkorian society of the tenth century or earlier contributed to the decline in status of some middle-level officials, as is evident from the mid-eleventh century. Many Angkorian inscriptions written between the late ninth and late twelfth centuries record purchases and donations of lands acquired for religious foundations. The texts often contain details of transactions and disputes seeking to validate title to these holdings. The buyers include middle-ranking 〈span〉loñ〈/span〉 and 〈span〉vāp〈/span〉, and increasingly, higher-ranking officials. An analysis of the roles and activities of the officials reveals something of their relative status and helps explain the disappearance of 〈span〉vāp〈/span〉 from the inscriptions in the eleventh century, and the relegation of 〈span〉loñ〈/span〉 to temple roles by the twelfth century. The transfer of communal lands and lands owned by these officials to elites is attributed to hierarchical restrictions on land purchases, a reduction in fiscal immunities, and the need for taxes to be paid to the centre with high-value goods in Angkor's moneyless economy.〈/p〉〈/div〉

Beschreibung: 〈div data-abstract-type="normal"〉〈p〉Lord Reid played a vital role as chairman in a Commonwealth commission in framing the Malayan Independence constitution between 1956 and 1957. The Scottish Lord of Appeal sought to ensure the commission's impartiality and to achieve a fair balance between the demands of the various interest groups. The Federation of Malaya was a complex emerging nation-state with a diverse population and the framers had to manage competing interests and demands. This article, through a close examination of the primary constitutional documents, considers Reid's influence on the framing of the Malayan (and hence, Malaysian) federal constitution. The article begins with a brief discussion of Lord Reid's appointment to head the commission and then considers in some depth areas where his influence on the framing of the draft constitution is evident. The article argues that Reid was the main playmaker and moderator during the constitution-framing process and played a critical role in ensuring a balance was achieved between the competing demands of the federal government and the states, safeguarding the fundamental rights of the citizens against the state, and in moderating the various communal demands.〈/p〉〈/div〉

Beschreibung: 〈div data-abstract-type="normal"〉〈p〉Successive wars and the establishment of a border between the kingdom of Burma and British India in the nineteenth century challenged Burmese conceptions of sovereignty and political space. This essay investigates how European, and more specifically Anglo-American, notions of race, nation, and consular protection to nationals, progressively informed the Burmese concepts of ‘categories of people’ 〈span〉(lumyo)〈/span〉 and ‘subject’ 〈span〉(kyun)〈/span〉. First, I present the semantic evolution of these concepts in the 1820s–1830s, following the annexation of the western Burmese province of Arakan by British India in 1824. Then, I argue that the Burmese concept of 〈span〉lumyo〈/span〉 was progressively associated with the European concept of ‘nations’ in the 1850s–1860s, following the annexation of Lower Burma in 1852. Finally, I uncover developments in the 1870s, when British consular protection extended to several freshly categorised ‘nations’, such as Shan, Karenni, and Kachin.〈/p〉〈/div〉

Beschreibung: 〈div data-abstract-type="normal"〉〈p〉This volume contains an introduction and eight papers presented at an international symposium ‘Let's Talk about Trees’, which was organised by Ritsuko Kikusawa and hosted by the National Museum of Ethnology of Osaka, Japan, in February 2013. The stated purpose of the meeting was to evaluate the pros and cons of the classic tree model of historical linguistics in describing the order of splits within a language family. Because the problem of modelling relationships of descent is common to other disciplines, contributors were invited from a range of academic disciplines, including not only linguistics, but also what is described on page one as ‘cladistics’, ‘biology’ and ‘genetics’, although cladistics is clearly a part of biological taxonomy, and not an independent discipline.〈/p〉〈/div〉

Beschreibung: 〈div data-abstract-type="normal"〉〈p〉This article provides an outline of the historical construction of Timorese (East Timorese and Indonesian West Timorese) geo-bodies and communal identities from the mid-nineteenth century to the present time, thereby reconstructing the origins of many national imaginings amongst the Timorese people. Since the controversial annexation of Portuguese Timor by Indonesia in 1976, (East) Timor has been constructed as a place of two territorial identities: Timor as a part of Indonesia and East Timor as a homogeneous nation distinct from Indonesia. However, representations of Timor had been much more fluid and inconsistent in preceding ages. This article studies various communities’ representations of Timor to reveal dialectic relations between diverse colonial and post-colonial representations of the Timorese spaces and their senses of belonging. Thereby, it problematises the political role of global and regional place-making in a contested Southeast Asian locale.〈/p〉〈/div〉

Beschreibung: 〈div data-abstract-type="normal"〉〈p〉This article examines 〈span〉gotong royong〈/span〉 as social citizenship in the second half of the twentieth century in Indonesia. 〈span〉Gotong royong〈/span〉 was traditionally understood as a collective spirit among neighbours to strengthen economic and social resilience. However, the institutionalisation of the system through massive development programmes since the 1940s has influenced the common people's perception and practice of it. This article argues that the co-option of 〈span〉gotong royong〈/span〉 as part of the discourse of nation-state building transformed the popular view of labour and capital mobilisation from an openly critical stance to apparent submission. 〈span〉Gotong royong〈/span〉 became a means of social engineering and an ingenious linguistic strategy by which state elites orchestrated control over the making of citizens. Still, Indonesians have remained vigilant of their participation in 〈span〉gotong royong〈/span〉, and about the potential for its misuse by corrupt officials.〈/p〉〈/div〉

Beschreibung: 〈div data-abstract-type="normal"〉〈p〉The Aru Islands in southeastern Maluku have a long history of economic exchange and colonial relations with the Dutch East India Company (VOC), and later the Dutch colonial state. Aru was fragmented in smaller autonomous settlements, of which those in the east produced valuable items for export, such as pearls and tripang (edible sea cucumber). The article focuses on a spate of anti-colonial revolts in the waning days of the VOC in the 1790s. It centred on the Batuley villages situated on a few small islands on the eastern side. The central incident leading to the resistance was the killing of a Dutch low-ranking officer, Scheerder, an event which has been preserved in local tradition till the present day. A search in the VOC archives confirms several details, but suggests a rationale for the resistance which is partly different from the traditional version, and linked in with larger movements of resistance in Aru and Maluku. The article discusses the significance of the oral traditions, and how a comparison with archival materials can enrich our understanding of Arunese–Dutch relations.〈/p〉〈/div〉

Beschreibung: 〈div data-abstract-type="normal"〉〈p〉Indigeneity, a concept and construct, is increasingly gaining currency in academia, in the political sphere, and in public debates. Indigeneity as an active political force with international support has become a resource in identity politics. This article focuses on the dynamics of how the transnational idea of indigeneity has been nationally installed and locally translated within the context of the ethnohistory of an Indigenous movement that stemmed from local–societal relations with the state. The idea of indigeneity is seen as both local and global because it is globally circulated but locally articulated as well as globally charged but locally framed. Focusing on the Chittagong Hill Tracts, in the borderlands of South and Southeast Asia and home to 11 Indigenous groups in Bangladesh, the article argues that the local translation of global indigeneity is necessary for ensuring the rights and entitlements of Indigenous Peoples.〈/p〉〈/div〉

Beschreibung: 〈div data-abstract-type="normal"〉〈p〉Only a few decades ago, there was not a country in Asia that recognised the existence of specifically and legally defined ‘Indigenous Peoples’. In recent years, however, that has changed, albeit unevenly. The concept of indigeneity is being increasingly accepted, both by governments and the public, although it remains highly controversial, even in countries where it has made some ground legally. For example, in the region we now frequently refer to as ‘Southeast Asia’, the governments of the Philippines and Cambodia now define particular ethnic groups of people as Indigenous, and are providing these groups with particular rights. In other countries in the region, the concept of Indigenous Peoples is still not legally recognised, but there is increasing acceptance of the concept, or at least recognition of it amongst certain groups. Questions related to the proliferation and contested nature of the concept of Indigenous Peoples were addressed during a multidisciplinary workshop organised by the Center for Southeast Asian Studies at the University of Wisconsin-Madison in March 2015. This special issue of the 〈span〉Journal of Southeast Asian Studies〈/span〉 is devoted to considering some of the conceptions of indigeneity in Southeast Asia that brought together a group of scholars and activists from various countries in Asia and the United States for the workshop, which was financially supported through a grant provided by Open Society Foundations.〈/p〉〈/div〉

Beschreibung: 〈div data-abstract-type="normal"〉〈p〉What are the practical and cultural consequences of embracing the ‘Indigenous’ label? Despite universalising aspirations, the concept of indigeneity carries distinct political connotations in the Philippines, where the Indigenous Peoples’ Rights Act has created a bureaucracy that purportedly responds to the special needs of Indigenous Peoples, including the preservation of cultural traditions and securing title to ancestral lands. While laudatory on the surface, in practice the current legal and bureaucratic framework allows the state to impose its own definition of indigeneity, often compelling indigenous minorities to conform to stereotypes in order to acquire the fundamental rights and benefits that, by law, are supposed to be guaranteed. The Philippine states’ requirements for being recognised as ‘Indigenous’ are transforming how Indigenous Peoples maintain and perform their ancestral traditions, often leading to highly divisive internal debates about proper cultural and political representation. This article examines the case of Higaunon Lumads in northern Mindanao, who have been responding locally to over thirty years of national trends in participatory development that require increased engagement with government bureaucracy. I explore how ‘indigeneity’ has been defined and employed by Higaunons in the service of ‘preserving tradition’, the political and other consequences that have emerged in this context, and the perils of representing and commodifying indigeneity in modern Southeast Asia.〈/p〉〈/div〉

Beschreibung: 〈div data-abstract-type="normal"〉〈p〉This article investigates the processes of becoming Indigenous Peoples in Thailand by tracing the transnational relationships and influences of global Indigenous movements on the creation of the Network and the Council of Indigenous Peoples in Thailand (NIPT and CIPT). In addition, it examines the Indigenous Peoples’ movement toward both internal and external recognition. I argue that in Thailand the Indigenous Peoples movement stems from the global movement and exists in relation to international organisations. Within Thailand, the movement represents a deterritorialisation of the ethnoscape, with those now identified as Indigenous Peoples previously being identified as ‘tribal peoples’, ‘ethnic minorities’, or ‘Others’ who threatened national security. Indigenous Peoples are also self-identifying as native and marginalised peoples whose basic rights must be recognised and who advocate for equal treatment as citizens. Yet, the Indigenous Peoples’ movement in Thailand is developing through a process of ongoing negotiations with various internal and external sectors. As a Hmong anthropologist and long-time participant in the Indigenous movement in Thailand, in addition to secondary sources, I draw mainly on personal observations and interviews with key informants.〈/p〉〈/div〉

Beschreibung: 〈div data-abstract-type="normal"〉〈p〉This article presents a chronology of the growth of the concept of Indigeneity in Thailand, analysing the particular ways in which the global Indigenous movement has taken root in the country. In Thailand, transnational support networks and the opening of political associational space played key roles in facilitating the growth of, first, a regional, and later a national Indigenous movement during the 1980s and early 2000s, respectively. Indigenous Peoples in Thailand are asserting their identity by drawing on a new concept of Indigeneity being promoted by the United Nations and other international advocacy organisations that identifies them not only as first peoples, but crucially as colonised or oppressed peoples. Indigenous Peoples in Thailand are further asserting both their cultural distinctiveness and their compatibility with the Thai nation. The Indigenous movement in Thailand differs from movements in Australia, Canada, and the United States where Indigenous Peoples must perform their cultural distinctiveness to maintain political recognition, and in turn are accused of being not different enough when exercising their rights. In Thailand, rather, Indigenous Peoples are accused of being not Thai enough in their efforts to push for any political recognition. While the Thai government denies the relevance of the concept of Indigeneity to Thailand, it is clear that the Indigenous movement in Thailand has grown since the early 2000s. In fact, state policies between the 1950s and early 2000s contributed toward the scaling-up of a pan-Hill tribe identity among the core groups associated with the movement.〈/p〉〈/div〉

Beschreibung: 〈div data-abstract-type="normal"〉〈p〉In Myanmar, the idea of ‘indigeneity’ has been mobilised in two radically different ways. Ethnonationalist groups such as the Chin National Front and the Karen National Union have utilised the concept to lobby for increased autonomy in international forums such as the United Nations, while the Burmese state has used the idea of indigeneity (or native-ness, typically translated as 〈span〉taingyinthar〈/span〉 in Burmese) to exclude certain minorities — most prominently the Rohingya — by explicitly striking them from the official list of Myanmar's ‘national races’. To clarify how this definitional tension has developed, this article will situate the competing Burmese appeals to indigeneity within the history of international indigeneity politics, and compare the Burmese ‘Indigenous situation’ to other Asian countries that have addressed the question of who counts and does not count as Indigenous.〈/p〉〈/div〉

Beschreibung: 〈div data-abstract-type="normal"〉〈p〉This article, which looks at Indigenous communities in the multiethnic, multicultural region of Sabah, East Malaysia, on the island of Borneo, argues that indigeneity is not primordial, but exists in relation to dominant identities as well as other non-dominant, Indigenous groups. Moreover, Indigenous Peoples are not passive recipients of colonial or even postcolonial Othering: their identity is contextualised and contested within majority–minority relations. The article begins with a brief history of the dominant Kadazandusun nationalism in Sabah, in the context of the overarching Bumiputra policy of Malaysia, which privileges constructed Malayness, as background to the discourses and practices of smaller groups of land-based Murut and the sea-oriented ‘Bajau’, where identity switching is taking place in tandem with environmental justice claims. The land-based communities (Murut) have found leverage in making identity and livelihood claims attached to place (here, state-declared forest reserves that seek to exclude them) in line with the recent global environmental justice focus on participatory conservation rather than the older ‘fortress conservation’ model still dominant in state conservation thinking. However, the sea-oriented peoples (Bajau) require other social symbols than land for making their identity claims, in this instance, via claims to ‘modern’ livelihoods and as managers of marine resources with reference to the newly established Tun Mustapha Park. In Sabah, participatory conservation is being reappropriated by Indigenous Peoples to assert claims about place and /or livelihoods; if bureaucratised, however, this form of conservation might turn out to be less than participatory.〈/p〉〈/div〉

Beschreibung: 〈div data-abstract-type="normal"〉〈p〉After the fall of the Marcos regime in 1986, Philippine policymakers became the first in Asia to recognise indigeneity and Indigenous rights. By law, Indigenous groups throughout the archipelago now have priority rights to their ‘ancestral domains’, but in return they are expected to maintain an ‘ecological balance’ and cooperate with environmental regulations. As in many other parts of the world, the conditionalities of recognition mean that invocations of Indigenous rights often serve to initiate ever-deeper entanglements with governmental power. At the same time, however, Indigenous Peoples and their advocates do not approach the dilemmas of recognition as hapless bystanders; rather, they negotiate them in strategic and often unexpected ways. This article considers how members of Indigenous Palawan communities in the southwestern Philippines have used dominant policy assumptions to intervene in dispossessory processes. Specifically, I examine instances in which they have: (1) codified a ‘tradition’ of inheritance to influence legislative outcomes; (2) performed the policy narrative of ‘ecological balance’ to shape the outcome of conservation interventions; and (3) filed a civil case tacitly challenging official expectations that they govern themselves as homogenous collectivities. These examples, I argue, offer broader insights into the paradoxical and at times unexpected consequences of legislating Indigenous rights.〈/p〉〈/div〉

Beschreibung: 1819 represents a highly charged moment in the Singapore imagination. It marks the birth of our modern city-state, yet it also signals the beginning of our colonisation: the domination of Malay and other Asian cultures by Western powers. Artists have thus responded to the event with widely variant attitudes, ranging from E.W. Jesudason's laudatory Raffles Institution Anthem (c.1963–66) to Isa Kamari's stridently anti-colonial novel, Duka Tuan Bertakhta / 1819 (2011). The prevailing sentiment, however, has been one of playful ambivalence. While accepting the fact of colonisation, artists have rejected a founding myth that glorifies our primary colonist, Sir Stamford Raffles. Instead, we have lampooned him in works like Robert Yeo's play The Eye of History (1991) and Colin Goh's film Talking Cock: The Movie (2002); raised ourselves to the height of his statue in Lee Wen's art event Untitled (Raffles) (2001); highlighted narratives of overlooked figures in the drama of colonisation: William Farquhar, Sophia Raffles, Nonio Clement, Sultan Hussein Shah, Munsyi Abdullah, and Sang Nila Utama. As a cultural researcher and author of the biographical drama The Last Temptation of Stamford Raffles (2008), I shall examine trends behind these divergent representations of our colonisation. I argue that artists have chosen to retell 1819 not as a year of conquest, but as a polymorphous moment of transformative contact between East and West; one in which we may view ourselves, not as the victims of change, but as its agents.

Beschreibung: While Sir Thomas Stamford Raffles led the expedition that founded colonial Singapore in 1819 and conceptualised many of the early institutions that developed the trade port, it was the depiction and commemoration of his time in the region that made him an icon of imperial mythology. This was part of a process in which admiration of his name and exploits were exalted, ultimately representing a core element in the Victorian mentality, the need to create heroes to glorify the British Empire. This article will survey and analyse how the commemoration of Raffles in the first 75 years of colonial rule, through the commissioning of statues and the attachment of his name to establishments and institutions, solidified and justified a British presence in the region and larger imperial history, which continues to echo in the modern nation-state of Singapore and its history.

Beschreibung: Colonial Singapore witnessed the movement and settling of Chinese, Malay, Indian, Arab, European and other mercantile groups as a free port and emporium of the British Empire. This social landscape was defined by boundaries between the different ethnic communities, often drawn up by the British, in contrast to the cosmopolitan exchanges of the market. This article focuses on the Indian business communities which had played a significant role in maritime trade networks since pre-colonial times and continued to be a part of Singapore's developing society and economy in the British period. A minority in the colonial era port city and largely confined within intra-ethnic economic and social circuits, Indians participated in the complex colonial structure of trade and credit alongside British, European and Asian traders and merchant houses, as brokers, agents, and retailers. British hegemony over the Indian subcontinent was both an advantage and a disadvantage for these Indian trading communities. This article brings to light the history of Indian networks in the colonial transnational flows of capital and entrepreneurship, and their patterns of integration into and role in the development of Singapore, a role marginalised in the scholarship and the national narratives alike by a focus on the large-scale Indian labour migrations.

Beschreibung: This article explores the idea of Singapore's repute as the ‘Liverpool of the East’ and the depictions of Britain's maritime empire in Asia. It does so via two important cruises related to the British Empire. The first is the Royal Tour of 1901 and the second cruise was the Empire Cruise of 1923 to 1924. By examining the reception afforded to both royal and naval visitors, this article argues that we have insights into what it meant for Singapore as a port city in a British maritime and imperial network. This article explores how Singapore was depicted as a maritime hub through these tours and concludes with a reflection that similar descriptions still hold a place in modern descriptions of Singapore.

Beschreibung: Studies on the international history of fourteenth-century Singapore have been hitherto limited to external trade conducted by local inhabitants, and material consumption patterns that this trade enabled them to develop. Broader regional cultural influences have been postulated though not clearly demonstrated, given scant textual records and limited material culture remains. This article seeks to examine the external influences, adaptation and assimilation in the production and consumption of fourteenth-century Singapore. In particular, it looks at three aspects of Singapore's pre-colonial existence — modes of economic production, patterns of consumption of international products, and the articulation of high culture vis-à-vis external entities. By examining available archaeological, epigraphic, art historical and cartographic data from the fourteenth through the nineteenth centuries, this article postulates how distinct consumption patterns may have developed among different riverside populations living north of the Singapore River. This study also questions the common view that Singapore developed as a cosmopolitan port-city only after the advent of British colonialism, demonstrating that its diversity and openness was likely a feature centuries before.

Beschreibung: The year 1819 is almost universally taken as a seminal date in Singapore historiography. Yet Stamford Raffles’ founding of a British trading post there was controversial from the start. The Dutch and the British haggled as to whether or not Raffles had overstepped his authority, and whether the trading post was legal. From the start, the Dutch demanded that the British quit their occupation of Singapore. During a three-year hiatus in the Anglo–Dutch negotiations (1820–23), Anton Reinhard Falck, the lead Dutch negotiator, decided to drop claims to Singapore in favour of a rearrangement of possessions in the archipelago. Crucially, he concluded that dropping claims over Singapore would not amount to a real loss. Instead, Falck hoped to use Singapore as a bargaining chip to squeeze additional concessions from the British. The Dutch formally relinquished their claim over Singapore in article 12 of the Anglo-Dutch Treaty, which gave full recognition and legitimacy to the British post, and sanctioned a breakup of the Johor-Riau Empire with the Singapore Straits acting as a notional dividing line. Earlier studies were substantially based on English-language materials and present the British as dominating the negotiations. The present article, based on Dutch archival materials as well as studies and sources in French, Dutch and English, reveals a fuller story of diplomatic disputes, territorial concessions, errors of judgement, and the triggering of the Dutch empire in the archipelago, in a paper war for the contested space of Singapore.

Beschreibung: In Asia, and in Southeast Asia in particular, the Cold War was far from cold, witnessing the most deadly conflicts and political massacres of the second half of the twentieth century. Also, the clash of ideologies there did not follow a binary logic but included a third force, nationalism, which was rooted in the anticolonialist movements of the interwar years and played a significant role even in countries that decolonised peacefully after the end of the Second World War. The Cold War thus overlapped with the twin process of decolonisation and nation-building, which had its founding moment at the Asian-African Conference at Bandung in 1955, where the non-aligned camp, which advocated a neutral position vis-à-vis the two rival blocs, coalesced (one year ealier, the anticommunist Southeast Asia Treaty Organization had been established). Postcolonial aspirations to national progress that tied socioeconomic development to the civic and cultural elevation of the citizenry were widely shared among newly decolonised countries. By the mid-1960s, however, the utopian ‘Bandung Spirit’ had lost ground to Cold War realpolitik; intra-Asian and communal conflicts fomented by Cold War enmities (the Sino–Indian War of 1962, the Indo–Pakistani War of 1965, Indonesia's anticommunist purges of 1965–66) along with the escalation of the Vietnam War and the consequent exacerbation of regional divisions, belied governments’ earlier commitment to human rights, Third World solidarity and world peace. The authoritarian involution of several Asian countries that were often American allies, redoubled by the opening of their economies to multinational corporations, led many artists and intellectuals to embrace political activism. The conception of art as a revolutionary instrument in the service of the masses had been famously articulated by Mao Zedong at the Yan'an Forum in 1942. In China, Mao's prescriptions on art were sidelined, though never officially repudiated, only in the early 1990s, following the end of the Cold War and the adoption of a socialist market economy, by acknowledging the necessity ‘to respect and guarantee the creativity of individuals’.

Beschreibung: Munsyi Abdullah and his better-known writings, Kisah Pelayaran Abdullah (1838) and Hikayat Abdullah (1843), are much-discussed in the historiography of early British colonial Singapore. However, Amin Sweeney's efforts to historicise some aspects of Abdullah's life and writings have established that Abdullah was much more than a sharp social critic of Malays and their rulers. He is better understood as a subtle critic and even a manipulator of his European interlocutors who craftily used his occidental contacts and connections alongside his local knowledge to preserve his role as a cultural intermediary in a burgeoning port settlement. Sweeney's efforts bring into focus a multifaceted imperial experience where notions like ‘interactions’ and ‘connections’ become viable descriptive categories in making sense of the intersections of Abdullah and empire, thereby strongly resonating with networked conceptions of imperial space propounded by ‘new’ imperial history. Taken alongside the recent literary and theoretical efforts of Jan van der Putten and Sanjay Krishnan respectively on Abdullah, and the carefully circumscribed historical efforts of Ian Proudfoot, the recent historiography of Abdullah offers fresh interpretive possibilities of early colonial Singapore. Leveraging such developments to engage with Mary Turnbull's scripting of a gruesome episode in 1823 indicates that Turnbull's historiographical dominance of Singapore's early colonial history can be transcended to better represent British coloniality, warts and all.

Beschreibung: Most of the research presented in this special issue questions the notion of a singular Singaporean story, and yet this narrative persists as a form of Gramscian common sense for most Singaporeans, whether young or old, and also for recent immigrants and international commentators. To understand the reasons for this persistence, I turn to American political scientist Rogers M. Smith's concept of narratives of peoplehood, and in particular his notion of ethically constitutive stories that are central to individual subject formation. The role of the colonial past in such stories of Singapore is contradictory, in that the relationship between colonialism and the nation-state is seen simultaneously in terms of rupture and continuity, and this conceals a further contradiction in terms of the relationship between individual and the collective. In exploring these contradictions, and in tracing reparative possibilities for new stories of peoplehood, I will, in conclusion, turn to recent literary narratives, and in particular recent historical speculative fiction that revisions the colonial past.

Beschreibung: Ancient Singapore is often discussed exclusive of its cultural and historical context, a backward projection of the modern, independent city-state. Temasek is understood mainly in terms of being a maritime entrepôt with extensive trade connections. This research is interested in Temasek as a proto-historic Malay port-city, namely its social, political and economic organisation. It is an aspect of early Singapore, and of the Malay World, in general, we know very little about. However, more than three decades of archaeology have provided a wealth of data related to daily life in the settlement and the data has provided hints of a diverse sociocultural landscape. This study focuses on the relationship between metal production and social organisation, and employs a conceptual and interpretative framework that is both multidisciplinary and cross-cultural. Craft production is as much a social and political phenomenon as an economic and technological one, and studies of production systems can shed light on issues of power and control over resources and labour. The data suggest the presence of a social stratum that could generate and mobilise resources independent of the ruling elite. Metals were rare and valuable commodities during this period, however, the ruling class in Temasek did not appear to control nor restrict production of iron and copper-based goods as it did with glass. The results are by no means the final word on ancient Singapore or Malay society. Instead it provides a provisional model that can be tested with archaeological data, refined and expanded as more material becomes available.

Beschreibung: The Internet of Things (IoT) is an emerging paradigm branded by heterogeneous technologies composed of smart ubiquitous objects that are seamlessly connected to the Internet. These objects are deployed as Low power and Lossy Networks (LLN) to provide innovative services in various application domains such as smart cities, smart health, and smart communities. The LLN is a form of a network where the interconnected devices are highly resource-constrained (i.e., power, memory, and processing) and characterized by high loss rates, low data rates, and instability in the communication links. Additionally, IoT devices produce a massive amount of confidential and security-sensitive data. Various cryptographic-based techniques exist that can effectively cope with security attacks but are not suitable for IoT as they incur high consumption of resources (i.e., memory, storage and processing). One way to address this problem is by offloading the additional security-related operations to a more resourceful entity such as a fog-based node. Generally, fog computing enables security and analysis of latency-sensitive data directly at the network’s edge. This paper proposes a novel Fog Security Service (FSS) to provide end-to-end security at the fog layer for IoT devices using two well-established cryptographic schemes, identity-based encryption, and identity-based signature. The FSS provides security services such as authentication, confidentiality, and non-repudiation. The proposed architecture would be implemented and evaluated in an OPNET simulator using a single network topology with different traffic loads. The FSS performed better when compared with the APaaS and the legacy method.

Beschreibung: Counterfeiting has always been a concern, costing a significant amount of money and causing losses in international trading markets. Radio frequency identification (RFID) tag Anti-counterfeiting is a conceptual solution that has received attention in the past few years. In this article, we present a survey study on the research topic of anti-counterfeiting products using RFID tags on merchandise. As this issue evolved in industry, there were several techniques used to address the problem; each technique uses a different concept and mechanism in resolving the issue. Each technique also has different pros and cons which we will address at the end of this paper with our findings. As we explore RFID technology and its implementation, we will discuss previous research before proceeding to the core of the topic of RFID Anti-counterfeiting based on the methods used. We compare the different techniques used at the end of the paper.

Beschreibung: Thanks to their arising abilities to influence the human lifestyle, along with reducing the healthcare systems’ cost, wireless body area networks (WBANs) still form a strongly growing research field. Recent advances focus on the opportunities of coexistence and communication between a group of WBANs, that will forward the sensing data, using persons as network relays, until reaching a remote analysis server or cloud servers via the Internet, forming thus a body-to-body network (BBN). Such new-style networks support a range of innovative and promising applications, including ubiquitous healthcare (U-health), interactive games, and military, to cite a few. In this paper, we first present the evolution of the single WBAN concept to the cooperative network of multiple WBANs, giving rise to the BBN concept. A synopsis of the WBAN and BBN respective standards and applications is given, and the emerging BBN challenges are highlighted. Then, we present and discuss the existing WBAN proposals, especially the candidate WBAN protocols that could be adapted and used in BBNs, focusing on four intrinsically related axes of great importance for BBN design: energy efficiency, mobility prediction, quality of service (QoS) and security. Further BBN open issues are also investigated, namely, the wireless propagation between humans carrying wearable devices, the interference, storage and privacy issues as well as the heterogeneity of BBN devices and traffic.

Beschreibung: A service function chain (SFC) is an ordered virtual network function (VNF) chain for processing traffic flows to deliver end-to-end network services in a virtual networking environment. A challenging problem for an SFC in this context is to determine where to deploy VNFs and how to route traffic between VNFs of an SFC on a substrate network. In this paper, we formulate an SFC placement problem as an integer linear programing (ILP) model, and propose an availability-enhanced VNF placing scheme based on the layered graphs approach. To improve the availability of SFC deployment, our scheme distributes VNFs of an SFC to multiple substrate nodes to avoid a single point of failure. We conduct numerical analysis and computer simulation to validate the feasibility of our SFC scheme. The results show that the proposed scheme outperforms well in different network scenarios in terms of end-to-end delay of the SFC and computation time cost.

Beschreibung: The tremendous increase in the urban population highlights the need for more efficient transport systems and techniques to alleviate the increasing number of the resulting traffic-associated problems. Modeling and predicting road traffic flow are a critical part of intelligent transport systems (ITSs). Therefore, their accuracy and efficiency have a direct impact on the overall functioning. In this scope, a new approach for predicting the road traffic flow is proposed that combines the Petri nets model with a dynamic estimation of intersection turning movement counts to ensure a more accurate assessment of its performance. Thus, this manuscript extends our work by introducing a new feature, namely turning movement counts, to attain a better prediction of road traffic flow. A simulation study is conducted to get a better understanding of how predictive models perform in the context of estimating turning movements.

Beschreibung: Continuous monitoring of breathing activity plays a major role in detecting and classifying a breathing abnormality. This work aims to facilitate detection of abnormal breathing syndromes, including tachypnea, bradypnea, central apnea, and irregular breathing by tracking of thorax movement resulting from respiratory rhythms based on ultrasonic radar detection. This paper proposes a non-contact, non-invasive, low cost, low power consumption, portable, and precise system for simultaneous monitoring of normal and abnormal breathing activity in real-time using an ultrasonic PING sensor and microcontroller PIC18F452. Moreover, the obtained abnormal breathing syndrome is reported to the concerned physician’s mobile telephone through a global system for mobile communication (GSM) modem to handle the case depending on the patient’s emergency condition. In addition, the power consumption of the proposed monitoring system is reduced via a duty cycle using an energy-efficient sleep/wake scheme. Experiments were conducted on 12 participants without any physical contact at different distances of 0.5, 1, 2, and 3 m and the breathing rates measured with the proposed system were then compared with those measured by a piezo respiratory belt transducer. The experimental results illustrate the feasibility of the proposed system to extract breathing rate and detect the related abnormal breathing syndromes with a high degree of agreement, strong correlation coefficient, and low error ratio. The results also showed that the total current consumption of the proposed monitoring system based on the sleep/wake scheme was 6.936 mA compared to 321.75 mA when the traditional operation was used instead. Consequently, this led to a 97.8% of power savings and extended the battery life time from 8 h to approximately 370 h. The proposed monitoring system could be used in both clinical and home settings.

Beschreibung: Mobile health research field aims to provide access to healthcare anytime and anywhere through mobile computing technologies while using a cost-effective approach. Mobile health is closely related to ambient assisted living as both research fields address independence in elderly adults. Aging has become a relevant challenge, as it is anticipated that 20% of world population will be aged 60 years and older in 2050. Most people spend more than 90% of their time indoors, therefore the indoor environmental quality has a relevant impact on occupant’s health and well-being. We intended to provide real-time indoor quality monitoring for enhanced living environments and occupational health. This paper presents the AirPlus real-time indoor environmental quality monitoring system, which incorporates several advantages when compared to other systems, such as scalability, flexibility, modularity, easy installation, and configuration, as well as mobile computing software for data consulting and notifications. The results that were obtained are promising and present a significant contribution to the monitoring solutions available in the literature. AirPlus provides a rich dataset to plan interventions for enhanced indoor quality, but also to support clinical diagnostics and correlate occupant’s health problems with their living environment conditions.

Beschreibung: The increasing demand for location-dependent services in wireless sensor networks (WSNs) calls for solutions capable of handling the diversified demands and the unique challenges presented in WSNs. In most applications, nodes need to determine their locations in a reliable manner while operating under stringent constraints in computation, communication, and energy resources. This paper offers a novel solution to bridge the gap between the high accuracy demand and low resources available for range-based localization. We propose KickLoc, a fully distributed scheme, which considers the uncertainty of the distance measurements to minimize localization errors introduced from the range measurement, and leverages information from all neighboring nodes for better position estimations. Our work is evaluated via extensive simulations, with comparisons to other well-known localization schemes, and the Cramér-Rao lower bound (CRLB). In addition, we implement and evaluate the proposed system on sensor platforms with different range measurement mechanisms. The results show that this localization solution outperforms existing methods in various scenarios, while remains lightweight and suitable for small, low resources WSNs.

Beschreibung: The term smart grid (SG) has been used by many government bodies and researchers to refer to the new trend in the power industry of modernizing and automating the existing power system. SGs must utilize assets optimally by making use of the information, like equipment capacity, voltage drop, radial network structure, minimizing investment and operating costs, minimizing energy loss and reliability indices, and so on. One way to achieve this is to re-route or reconfigure distribution systems (DSs). Distribution systems are reconfigured to choose a switching combination of branches of the system that optimize certain performance parameters of the power supply, while satisfying some specified constraints. In this paper, a blended biased and unbiased weightage (BBUW) multiple attribute decision-making (MADM) method is proposed for finding the compromised best configuration and compared it with other decision-making methods, such as the weighted sum method (WSM), weighted product method (WPM), and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. The BBUW method is implemented for two distribution systems, and the result obtained shows a good co-relationship between BBUW and other decision-making methods. Further weights obtained from the BBUW method are used for the WSM, WPM and TOPSIS methods for decision making. Examples of the distribution system are worked out in this paper to demonstrate the validity and effectiveness of the method.

Beschreibung: In a distributed system, a common time reference allows each component to associate the same timestamp to events that occur simultaneously. It is a design option with benefits and drawbacks since it simplifies and makes more efficient a number of functions, but requires additional resources and control to keep component clocks synchronized. In this paper, we quantify how much power is spent to implement such a function, which helps to solve the dilemma in a system of low-power sensors. To find widely applicable results, the formal model used in our investigation is agnostic of the communication pattern that components use to synchronize their clocks, and focuses on the scheduling of clock synchronization operations needed to correct clock drift. This model helps us to discover that the dynamic calibration of clock drift significantly reduces power consumption. We derive an optimal algorithm to keep a software defined clock (SDCk) synchronized with the reference, and we find that its effectiveness is strongly influenced by hardware clock quality. To demonstrate the soundness of formal statements, we introduce a proof of concept. For its implementation, we privilege low-cost components and standard protocols, and we use it to find that the power needed to keep a clock within 200 ms from UTC (Universal Time Coordinate) as on the order of 10−5 W . The prototype is fully documented and reproducible.

Beschreibung: Information fusion has been a topic of immense interest owing to its applicability in various applications. This brings to the fore the need for a flexible and accurate fusion algorithm that can be versatile. The Brooks–Iyengar algorithm is one such fusion algorithm. It has since its inception found numerous applications that deal with the fusion of data from multiple sources. The uniqueness of the Brooks–Iyengar algorithm is the ease with which the data from multiple sensors in a local system can be fused and also reach consensus in a distributed system with the added capability of fault tolerance. Blockchain has found its use as a distributed ledger and has successfully supported and fueled many crypto-currencies over the years. Information fusion with regards to Blockchains is a topic of great research interest in the past couple of years. Since blockchain has no official node, the introduction of a decentralized network and a consensus algorithm is required in making the interactions and exchanges between multiple suppliers easier and thus leads to business being carried out without any hassles. In this paper, we attempt to understand and describe the deployment of multiple sensors to measure various aspects of the physical world. We discuss a novel technique of employing the Brooks–Iyengar algorithm in the design of the system that would decentralize the data source from the corresponding measurements and thus ensure the integrity of the transactions in the Blockchain. Finally, a theoretical analysis of the performance of the algorithm when used in a blockchain based decentralized environment is also discussed.

Beschreibung: Security of IoT devices is getting a lot of attention from researchers as they are becoming prevalent everywhere. However, implementation of hardware security in these devices has been overlooked, and many researches have mainly focused on software, network, and cloud security. A deeper understanding of hardware Trojans (HTs) and protection against them is of utmost importance right now as they are the prime threat to the hardware. This paper emphasizes the need for a secure hardware-level foundation for security of these devices, as depending on software security alone is not adequate enough. These devices must be protected against sophisticated attacks, especially if the groundwork for the attacks is already laid in devices during design or manufacturing process, such as with HTs. This paper will discuss the stealthy nature of these HT, highlight HT taxonomy and insertion methods, and provide countermeasures.

Beschreibung: Connected cars and vehicle-to-everything (V2X) communication scenarios are attracting more researchers. There will be numerous possibilities offered by V2X in the future. For instance, in the case of vehicles that move in a column, they could react to the braking of those in front of it through the rapid information exchanges, and most chain collisions could be avoided. V2X will be desiderated for routes optimizations, travel time reductions, and accident rate decrease in cases such as communication with infrastructures, traffic information exchanges, functioning of traffic lights, possible situations of danger, and the presence of construction sites or traffic jams. Furthermore, there could be massive conversations between smartphones and vehicles performing real-time dialogues. It is relatively reasonable to expect a connection system in which a pedestrian can report its position to all surrounding vehicles. Regarding this, it is compelling to perceive the positive effects of the driver being aware of the presence of pedestrians when vehicles are moving on the roads. This paper introduces the concepts for the development of a solution based on V2X communications aimed at vehicle and pedestrian safety. A potential system architecture for the development of a real system, concerning the safety of vehicles and pedestrians, is suggested to draft some guidelines that could be followed in new applications.

Beschreibung: The Quantum Double Delta Swarm (QDDS) Algorithm is a networked, fully-connected novel metaheuristic optimization algorithm inspired by the convergence mechanism to the center of potential generated within a single well of a spatially colocated double–delta well setup. It mimics the wave nature of candidate positions in solution spaces and draws upon quantum mechanical interpretations much like other quantum-inspired computational intelligence paradigms. In this work, we introduce a Chebyshev map driven chaotic perturbation in the optimization phase of the algorithm to diversify weights placed on contemporary and historical, socially-optimal agents’ solutions. We follow this up with a characterization of solution quality on a suite of 23 single–objective functions and carry out a comparative analysis with eight other related nature–inspired approaches. By comparing solution quality and successful runs over dynamic solution ranges, insights about the nature of convergence are obtained. A two-tailed t-test establishes the statistical significance of the solution data whereas Cohen’s d and Hedge’s g values provide a measure of effect sizes. We trace the trajectory of the fittest pseudo-agent over all iterations to comment on the dynamics of the system and prove that the proposed algorithm is theoretically globally convergent under the assumptions adopted for proofs of other closely-related random search algorithms.

Beschreibung: Rigorous peer-review is the corner-stone of high-quality academic publishing [...]

Beschreibung: Sensors and intelligent applications enabling smart vehicular traffic create an opportunity for improving the welfare of people, from the viewpoints of efficiency, sustainability, and social inclusivity. Like the opportunities, challenges of such an endeavour are multifaceted, including the scalable collection and processing of the hefty data volumes generated by sensors, and the coordinated operation between selfish agents. The purpose of this work is to survey recent literature with an emphasis on applications and a multidisciplinary eye, with the aim of stimulating discussion and reflection in the scientific communities. The principal application areas of smart traffic and smart mobility are discussed, synthesizing different perspectives. Many intriguing areas for future research exist besides those relative to connectivity, data fusion, and privacy. Some research challenges pertinent to sustainability, insurance, simulation and the handling of ambiguous information are highlighted.

Beschreibung: Enabling haptic communication as well as voice and data over the future 5G cellular system has become a demand. Tactile Internet is one of the main use cases of the 5G system that will allow the transfer of haptic communications in real time. Latency, availability, reliability, and security are the main design challenges of the tactile Internet system and haptic based bilateral teleoperation systems. An end-to-end latency of 1 ms remains the main challenge toward tactile Internet system realization, not only for the processing and coding delays but mainly for the limitations of light. In this work, we analyze the key solutions to overcome the light limitations and enable the tactile Internet over any distances with the required latency. Building a virtual model or model mediated for the remote environment at the edge cloud unit near to the end user is the main solution. By means of AI, the virtual model can predict the behavior of the remote environment and thus, the end user can interact with the virtual environment with a high system experience. This literature review covers the existing work of the model mediated bilateral teleoperated systems and discusses its availability for the tactile Internet system. Furthermore, the security issues of tactile Internet system and the effect of model mediated system on the required security level of tactile Internet applications are discussed. Finally, a structure for the tactile Internet system, with the deployment of model mediation, is suggested.

Beschreibung: To provide accurate activity recognition within a smart environment, visible spectrum cameras can be used as data capture devices in solution applications. Privacy, however, is a significant concern with regards to monitoring in a smart environment, particularly with visible spectrum cameras. Their use, therefore, may not be ideal. The need for accurate activity recognition is still required and so an unobtrusive approach is addressed in this research highlighting the use of a thermopile infrared sensor as the sole means of data collection. Image frames of the monitored scene are acquired from a thermopile infrared sensor that only highlights sources of heat, for example, a person. The recorded frames feature no discernable characteristics of people; hence privacy concerns can successfully be alleviated. To demonstrate how thermopile infrared sensors can be used for this task, an experiment was conducted to capture almost 600 thermal frames of a person performing four single component activities. The person’s position within a room, along with the action being performed, is used to appropriately predict the activity. The results demonstrated that high accuracy levels, 91.47%, for activity recognition can be obtained using only thermopile infrared sensors.

Beschreibung: Intrusion Detection Systems (IDS) are used to prevent attacks by detecting potential harmful intrusion attempts. Currently, there are a set of available Open Source IDS with different characteristics. The Open Source Host-based Intrusion Detection System (OSSEC) supports multiple features and its implementation consists of Agents that collect and send event logs to a Manager that analyzes and tests them against specific rules. In the Manager, if certain events match a specific rule, predefined actions are triggered in the Agents such as to block or unblock a particular IP address. However, once an action is triggered, the systems administrator is not able to centrally check and obtain detailed information of the past event logs. In addition, OSSEC may assume false positive or negative detections and their triggered actions: previously harmless but blocked IP addresses by OSSEC have to be unblocked in order to reestablish normal operation or potential harmful IP addresses not previously blocked by OSSEC should be blocked in order to increase protection levels. These operations to override OSSEC actions must be manually performed in every Agent, thus requiring time and human resources. Both these limitations have a higher impact on large scale OSSEC deployments assuming tens or hundreds of Agents. This paper proposes an extension to OSSEC that improves the administrator analysis capability by maintaining, organizing and presenting Agent logs in a central point, and it allows for blocking or unblocking IP addresses in order to override actions triggered by false detections. The proposed extension aims to increase efficiency of time and human resources management, mainly considering large scale OSSEC deployments.

Beschreibung: One of the most common forgotten things of adults is that they go to the shops and completely forget what they went for. The solution to this problem is to carry a shopping list. In this project, a novel Internet of Things (IoT)-connected smart canister system is developed, which automatically senses the item quantity in the canisters using proximity sensor, sends the data to a hub using Bluetooth Low Energy, and then the hub sends a cloud message to the consumer’s smartphone app using the Internet. The hub and the smartphone app display the item quantities and automatically add the items that are about to finish to a digital shopping list. The automatic generation of the shopping list removes the burden of manually checking each item before going to the shops and gives peace of mind to the consumers. A prototype of the proposed system with three canister devices, one hub, and the smartphone app is developed and tested successfully. The canister device consumes ultra-low power and has a battery life of more than a year.

Beschreibung: Monitoring and interpreting structural response using structural-identification methodologies improves understanding of civil-infrastructure behavior. New sensing devices and inexpensive computation has made model-based data interpretation feasible in engineering practice. Many data-interpretation methodologies, such as Bayesian model updating and residual minimization, involve strong assumptions regarding uncertainty conditions. While much research has been conducted on the scientific development of these methodologies and some research has evaluated the applicability of underlying assumptions, little research is available on the suitability of these methodologies to satisfy practical engineering challenges. For use in practice, data-interpretation methodologies need to be able, for example, to respond to changes in a transparent manner and provide accurate model updating at minimal additional cost. This facilitates incremental and iterative increases in understanding of structural behavior as more information becomes available. In this paper, three data-interpretation methodologies, Bayesian model updating, residual minimization and error-domain model falsification, are compared based on their ability to provide robust, accurate, engineer-friendly and computationally inexpensive model updating. Comparisons are made using two full-scale case studies for which multiple scenarios are considered, including incremental acquisition of information through measurements. Evaluation of these scenarios suggests that, compared with other data-interpretation methodologies, error-domain model falsification is able to incorporate, iteratively and transparently, incremental information gain to provide accurate model updating at low additional computational cost.

Beschreibung: The use of Internet of Things (IoT) with medical devices within a connected health environment promotes the quick flow of information and enables easy access to it [...]

Beschreibung: The rabid growth of today’s technological world has led us to connecting every electronic device worldwide together, which guides us towards the Internet of Things (IoT). Gathering the produced information based on a very tiny sensing devices under the umbrella of Wireless Sensor Networks (WSNs). The nature of these networks suffers from missing sharing among them in both hardware and software, which causes redundancy and more budget to be used. Thus, the appearance of Shared Sensor Networks (SSNs) provides a real modern revolution in it. Where it targets making a real change in its nature from domain specific networks to concurrent running domain networks. That happens by merging it with the technology of virtualization that enables the sharing feature over different levels of its hardware and software to provide the optimal utilization of the deployed infrastructure with a reduced cost. This article is concerned with surveying the idea of SSNs, the difference between it and the traditional WSNs, the requirements for its construction, challenges facing it, and the opportunities that are provided by it, then describing our proposed architectures. As a result of using virtualization technology as a basic block in building SSNs, using different types of virtualization will produce different types of SSNs that will give different usages to it. This article proposes a novel approach of taxonomy for SSNs that is based on the used virtualization techniques, and it describes the needs and usages of each one. It presents a wide array of previously proposed solutions comparing them to each other and a brief description of the issues addressed by each category of that taxonomy. Additionally, the shared sensor architecture and shared network architecture were depicted. Finally, some of its applications in some daily life fields are listed.

Beschreibung: Various technologies and standards for the Internet of Things (IoT) have defined the way devices should interact with each other to provide an intelligent IoT service to users in an efficient manner. Although the usability of system interface between the platform and users is one of the key factors for the success of IoT ecosystems, the manner in which IoT platforms should interact with users has not been well studied. Current IoT platforms provide a simple list-based interface to manage devices, which result in the degradation of their usability as the number of devices increases. In this paper, we propose an interactive web-based IoT management system where deep object detection techniques are adopted to facilitate user’s device selection and management. The proposed system automatically recognizes the device type from video streams and accordingly generates smart controllers. The users can choose a device by touching an object in the video stream and use a smart controller to control the selected device. Finally, we show the feasibility of the proposed system through the implementation of a prototype which demonstrates a set of user scenarios.

Beschreibung: This study provides a mathematical model and theoretical analysis of an interference cancellation system combining an orthogonal matched filter (OMF) and adaptive array antenna that is called the extended OMF (EOMF). In recent years, an increase in the number of applications of mobile ad hoc networks (MANETs) is expected. To realize a highly reliable MANET, it is essential to introduce a method for cancelling the interference from other nodes. This research focuses on a scheme based on Code Division Multiple Access (CDMA) that enables simultaneous multiple access and low latency communication. However, there are problems with deteriorating performance due to the near–far problem and the increase in the amount of interference as the number of users increases. Additionally, another problem is that the spreading sequence of each user is unknown in a MANET. The OMF is expected to be a solution to these problems. The OMF performs interference cancellation by generating and subtracting a replica of the interference signal that is contained in the received signal. However, the OMF may generate an incorrect replica in the near–far problem. The EOMF compensates for the OMF’s weakness by combining the OMF with an adaptive array antenna. In this research, optimal parameters are derived from mathematical modelling and theoretical analysis of the EOMF. Specifically, the optimal weight vector and the minimum mean squared error that allow the adaptive algorithm to converge are derived and obtained from the numerical results.

Beschreibung: This paper presents a framework to accurately and non-intrusively detect the number of people in an environment and track their positions. Different from most of the previous studies, our system setup uses only ambient thermal sensors with low-resolution, using no multimedia resources or wearable sensors. This preserves user privacy in the environment, and requires no active participation by the users, causing no discomfort. We first develop multiple methods to estimate the number of people in the environment. Our experiments demonstrate that algorithm selection is very important, but with careful selection, we can obtain up to 100% accuracy when detecting user presence. In addition, we prove that sensor placement plays a crucial role in the system performance, where placing the sensor on the room ceiling yields to the best results. After accurately finding the number of people in the environment, we perform position tracking on the collected ambient data, which are thermal images of the space where there are multiple people. We consider position tracking as static activity detection, where the user’s position does not change while performing activities, such as sitting, standing, etc. We perform efficient pre-processing on the data, including normalization and resizing, and then feed the data into well-known machine learning methods. We tested the efficiency of our framework (including the hardware and software setup) by detecting four static activities. Our results show that we can achieved up to 97.5% accuracy when detecting these static activities, with up to 100% class-wise precision and recall rates. Our framework can be very beneficial to several applications such as health-care, surveillance, and home automation, without causing any discomfort or privacy issues for the users.

Beschreibung: Nowadays, the penetration of sensors and actuators in different application fields is revolutionizing all aspects of our daily life. One of the major sectors that is taking advantage of such cutting-edge cheap smart devices is healthcare. In this context, Remote Patient Monitoring (RPM) at home represents a tempting opportunity for hospitals to reduce clinical costs and to improve the quality of life of both patients and their families. It allows patients to be monitored remotely by means networks of Internet of Things (IoT) medical devices equipped with sensors and actuators that collect healthcare data from patients and send them to a Cloud-based Hospital Information System (HIS) for processing. Up to now, many different proprietary software systems have been developed as stand-along expensive solutions, presenting interoperability, extensibility, and scalability issues. In recent years, the European Commission (EC) has promoted the wide adoption of FIWARE technology, launching 16 Industrial Accelerators focusing on different application fields. One of these, i.e., FICHe, is specialized in healthcare, providing the guidelines on how to develop eHealth systems. This paper focuses on how to compose new cutting-edge IoT and Cloud-based Cyber Physical Health Sytem (CPHS) services and applications interconnected with remote medical sensors and actuators using FIWARE technology in the context envisioned by FICHe. In particular, we discuss the design and development of an RPM system implemented through the collaboration between the Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) “Bonino Pulejo” (i.e., a clinical and research healthcare centre specialized in the treatment of neuro lesions), University of Messina, IBM Research, Telefónica, and the University of the Western Cape in South Africa. The description of our best practice provides a model and guidelines for the development of lightweight and low cost RPM services for rural and isolated areas, with the expectation of expanding healthcare to the developing world and in general allows us to outline how to deal with the real adoption of the FIWARE technology in an e-health project.

Beschreibung: The paper addresses the problem of localization based on hybrid received signal strength (RSS) and time of arrival (TOA) measurements, in the presence of synchronization errors among all the nodes in a wireless network, and assuming all parameters are unknown. In most existing schemes, in fact, knowledge of the model parameters is postulated to reduce the high dimensionality of the cost functions involved in the position estimation process. However, such parameters depend on the operational wireless context, and change over time due to the presence of dynamic obstacles and other modification of the environment. Therefore, they should be adaptively estimated “on the field”, with a procedure that must be as simple as possible in order to suit multiple real-time re-calibrations, even in low-cost applications, without requiring human intervention. Unfortunately, the joint maximum likelihood (ML) position estimator for this problem does not admit a closed-form solution, and numerical optimization is practically unfeasible due to the large number of nuisance parameters. To circumvent such issues, a novel two-step algorithm with reduced complexity is proposed: A first calibration phase exploits nodes in known positions to estimate the unknown RSS and TOA model parameters; then, in a second localization step, an hybrid TOA/RSS range estimator is combined with an iterative least-squares procedure to finally estimate the unknown target position. The results show that the proposed hybrid TOA/RSS localization approach outperformed state-of-the-art competitors and, remarkably, achieved almost the same accuracy of the joint ML benchmark but with a significantly lower computational cost.

Beschreibung: In energy detection for cognitive radio spectrum sensing, the noise variance is usually assumed given, by which a threshold is set to guarantee a desired constant false alarm rate (CFAR) or a constant detection rate (CDR). However, in practical situations, the exact information of noise variance is generally unavailable to a certain extent due to the fact that the total noise consists of time-varying thermal noise, receiver noise, and environmental noise, etc. Hence, setting the thresholds by using an estimated noise variance may result in different false alarm probabilities from the desired ones. In this paper, we analyze the basic statistical properties of the false alarm probability by using estimated noise variance, and propose a method to obtain more suitable CFAR thresholds for energy detection. Specifically, we first come up with explicit descriptions on the expectations of the resultant probability, and then analyze the upper bounds of their variance. Based on these theoretical preparations, a new method for precisely obtaining the CFAR thresholds is proposed in order to assure that the expected false alarm probability can be as close to the predetermined as possible. All analytical results derived in this paper are testified by corresponding numerical experiments.

Beschreibung: As Internet of Things (IoT) involvement increases in our daily lives, several security and privacy concerns like linkability, unauthorized conversations, and side-channel attacks are raised. If they are left untouched, such issues may threaten the existence of IoT. They derive from two main reasons. One is that IoT objects are equipped with limited capabilities in terms of computation power, memory, and bandwidth which hamper the direct implementation of traditional Internet security techniques. The other reason is the absence of widely-accepted IoT security and privacy guidelines and their appropriate implementation techniques. Such guidelines and techniques would greatly assist IoT stakeholders like developers and manufacturers, paving the road for building secure IoT systems from the start and, thus, reinforcing IoT security and privacy by design. In order to contribute to such objective, we first briefly discuss the primary IoT security goals and recognize IoT stakeholders. Second, we propose a comprehensive list of IoT security and privacy guidelines for the edge nodes and communication levels of IoT reference architecture. Furthermore, we point out the IoT stakeholders such as customers and manufacturers who will benefit most from these guidelines. Moreover, we identify a set of implementation techniques by which such guidelines can be accomplished, and possible attacks against previously-mentioned levels can be alleviated. Third, we discuss the challenges of IoT security and privacy guidelines, and we briefly discuss digital rights management in IoT. Finally, through this survey, we suggest several open issues that require further investigation in the future. To the best of the authors’ knowledge, this work is the first survey that covers the above-mentioned objectives.

Beschreibung: Thanks to IEEE 802.15.4 defining the operation of low-rate wireless personal area networks (LR-WPANs), the door is open for localizing sensor nodes using tiny, low power digital radios such as Zigbee. In this paper, we propose a three-dimensional (3D) localization scheme based on well-known loop invariant for division algorithm. Parametric points are proposed by using the reference anchor points bounded in an outer region named as Parametric Loop Division (PLD) algorithm. Similar to other range-based localization methods, PLD is often influenced by measurement noise which greatly degrades the performance of PLD algorithm. We propose to adopt extended Kalman filtering (EKF) to refine node coordinates to mitigate the measurement noise. We provide an analytical framework for the proposed scheme and find the lower bound for its localization accuracy. Simulation results show that compared with the existing PLD algorithm, our technique always achieves better positioning accuracy regardless of network topology, communication radius, noise statistics, and the node degree of the network. The proposed scheme PLD-EKF provides an average localization accuracy of 0.42 m with a standard deviation of 0.26 m.

Beschreibung: Advances in the Internet of Things (IoT) are helping to make water management smarter and optimizing consumption in the smart agriculture industry. This article proposes a new topology of sensor nodes based on the use of inexpensive and highly efficient components, such as water level, soil moisture, temperature, humidity, and rain sensors. Additionally, to guarantee good performance of the system, the used transmission module is based on LoRa LPWAN technology. The design of the main circuit board of the system is optimized by combining two layers and implementing software optimization. The overall sensor network is developed and tested in the research lab, and real farms can be controlled by users manually or automatically using the mobile application. Experimental results are produced by testing sensor and communication link effectiveness, and are subsequently validated in the field through a one-week measurement campaign.

Beschreibung: In the Internet of Things (IoT), a huge number of sensors, actuators and other equipment for data acquisition and processing will be interconnected by means of an omnipresent communication network able to efficiently support heterogeneous transmission technologies and applications. On the one hand, advanced optical communication systems, which already play a significant role in modern networks, are currently evolving to meet very high requirements of modern applications. On the other hand, there are already many ways to utilize optical components and effects for building precise, efficient, and reliable sensors. Thus, optical technologies have the potential to greatly help in realizing future smart infrastructures and systems. This paper gives an overview of currently available and emerging optical technologies for sensing and communication applications and reviews their possible application in the context of the IoT for realizing smart systems and infrastructures.

Beschreibung: Industrial Control Systems (ICSs) are responsible for the automation of different processes and the overall control of systems that include highly sensitive potential targets such as nuclear facilities, energy-distribution, water-supply, and mass-transit systems. Given the increased complexity and rapid evolvement of their threat landscape, and the fact that these systems form part of the Critical National infrastructure (CNI), makes them an emerging domain of conflict, terrorist attacks, and a playground for cyberexploitation. Existing layered-defence approaches are increasingly criticised for their inability to adequately protect against resourceful and persistent adversaries. It is therefore essential that emerging techniques, such as orthogonality, be combined with existing security strategies to leverage defence advantages against adaptive and often asymmetrical attack vectors. The concept of orthogonality is relatively new and unexplored in an ICS environment and consists of having assurance control as well as functional control at each layer. Our work seeks to partially articulate a framework where multiple functional and assurance controls are introduced at each layer of ICS architectural design to further enhance security while maintaining critical real-time transfer of command and control traffic.

Beschreibung: Emerging Mobile Cloud Computing (MCC) technologies offer a new world of promise by leveraging the quality of mobile services. With MCC, resource-constrained mobile devices could capitalize on the computation/storage resources of cloud servers via communication networks. While MCC adoption is growing significantly, several challenges need to be addressed to make MCC-based solutions scale and meet the ever-growing demand for more resource intensive applications. Security is a critical problem hindering the adoption of MCC. One of the most important aspects of MCC security is to establish authenticated communication sessions between mobile devices and cloud servers. The huge amount of data stored on mobile devices poses information security risks and privacy concerns for individuals, enterprises, and governments. The ability to establish authenticated communication sessions between mobile devices and cloud servers can resolve many security concerns. Limited computing and energy resources on mobile devices makes authentication and encryption a challenging task. In this paper, an overview of MCC authentication protocols is presented. Then, a Dual-Factor Authentication Protocol for MCC devices (D-FAP) is proposed. D-FAP aims at increasing authentication security by using multi-factors while offloading computation to the cloud to reduce battery consumption. The security of the protocol is formally verified and informal analysis is performed for various attacks. The results prove that the D-FAP is successful in mitigating various outsider and insider attacks.

Beschreibung: By nature, some jobs are always in closed environments and employees may stay for long periods. This is the case for many professional activities such as military watch tours of borders, civilian buildings and facilities that need efficient control processes. The role assigned to personnel in such environments is usually sensitive and of high importance, especially in terms of security and protection. With this in mind, we proposed in our research a novel approach using multi-sensor technology to monitor many safety and security parameters including the health status of indoor workers, such as those in watchtowers and at guard posts. In addition, the data gathered for those employees (heart rate, temperature, eye movement, human motion, etc.) combined with the room’s sensor data (temperature, oxygen ratio, toxic gases, air quality, etc.) were saved by appropriate cloud services, which ensured easy access to the data without ignoring the privacy protection aspect of such critical material. This information can be used later by specialists to monitor the evolution of the worker’s health status as well as its cost-effectiveness, which gives the possibility to improve productivity in the workplace and general employee health.

Beschreibung: The Internet of things requires long-life wireless sensor nodes powered by the harvested energy from environments. This paper proposes a nonlinear electromagnetic energy harvesting system which may be used to construct fully self-powered wireless sensor nodes. Based on a nonlinear electromagnetic energy harvester (EMEH) with high output voltage, the model of a nonlinear interface circuit is derived and a power management circuit (PMC) is designed. The proposed PMC uses a buck–boost direct current-direct current (DC–DC) converter to match the load resistance of the nonlinear interface circuit. It includes two open-loop branches, which is beneficial to the optimization of the impedance matching. The circuit is able to work even if the stored energy is completely drained. The energy harvesting system successfully powered a wireless sensor node. Experimental results show that, under base excitations of 0.3 g and 0.4 g (where 1 g = 9.8 m·s−2) at 8 Hz, the charging efficiencies of the proposed circuit are 172% and 28.5% higher than that of the classic standard energy-harvesting (SEH) circuit. The experimental efficiency of the PMC is 41.7% under an excitation of 0.3 g at 8 Hz.

Beschreibung: Fifth-generation (5G) mobile systems are a necessary step toward successfully achieving further increases in data rates. As the use of higher-order quadrature amplitude modulation (QAM) is expected to increase data rates within a limited bandwidth, we propose a method for orthogonal frequency division multiplexing (OFDM)-based 1024- and 4096-QAM transmission with soft-decision Viterbi decoding for use in 5G mobile systems. Through evaluation of the transmission performance of the proposed method over multipath fading channels using link-level simulations, we determine the bit error rate (BER) performance of OFDM-based 1024- and 4096-QAM as a function of coding rate under two multipath fading channel models: extended pedestrian A (EPA) and extended vehicular A (EVA). We also demonstrate the influence of phase error on OFDM-based 1024- and 4096-QAM and clarify the relationship between phase error and the signal-to-noise ratio (SNR) penalty required to achieve a BER of 1 × 10−2. This work provides an effective solution for introducing higher-order modulation schemes in 5G and beyond.

Beschreibung: Ambient gas detection and measurement had become essential in diverse fields and applications, from preventing accidents, avoiding equipment malfunction, to air pollution warnings and granting the correct gas mixture to patients in hospitals. Gas leakage can reach large proportions, affecting entire neighborhoods or even cities, causing enormous environmental impacts. This paper elaborates on a deep review of the state of the art on gas-sensing technologies, analyzing the opportunities and main characteristics of the transducers, as well as towards their integration through the Internet of Things (IoT) paradigm. This should ease the information collecting and sharing processes, granting better experiences to users, and avoiding major losses and expenses. The most promising wireless-based solutions for ambient gas monitoring are analyzed and discussed, open research topics are identified, and lessons learned are shared to conclude the study.

Beschreibung: An accurate 3-D wireless local positioning system (LPS) is a highly demanded tool for increasing safety in, e.g., emergency response and security operations. An LPS is an attractive approach that can meet stringent requirements and can achieve acceptable accuracies for a long time during extended operations in global navigation satellite system (GNSS)-denied environments. In this work, three closed-form (CF) least squares (LS) algorithms were considered, where two of them were adapted to exploit the knowledge about nuisance parameters for accurate 3-D positioning based on time difference of arrival (TDoA) measurements. The algorithms utilize the single set (SS) of the TDoA measurements, an extended SS (ExSS) of the TDoA measurements, or the full set (FS) of the TDoA measurements, and were denoted, respectively, as the CFSSLS, CFExSSLS, and CFFSLS solutions. The performance of the algorithms was investigated with simulations and real-world measurements, where the wireless system transmitters were placed in a quasi-coplanar arrangement. At moderate to high signal-to-noise ratio (SNR) levels, the CFSSLS solution has the best performance, followed by the CFExSSLS solution and then by the CFFSLS solution. At low SNR levels, the CFFSLS algorithm outperformed the other two algorithms. Both the CFSSLS and CFFSLS solutions estimate nuisance parameters that are utilized in refining the vertical position estimate of the receiver. The CFFSLS solution delivers more accurate refined vertical position estimates since it utilizes more nuisance parameters, i.e., more information. The experimental results confirmed the simulation study in which the CFFSLS algorithm outperformed the other two algorithms, where the experimental environment was dominated by total non-line-of-sight (NLoS) conditions and low SNR levels at the receiver to be located. Therefore, it is recommended to use the FS TDoA measurements for 3-D positioning in bad signal conditions, such as high noise levels and NLoS propagation.

Beschreibung: With the increase of mobile terminals, routing protocols in wireless communications must provide better quality of service to meet bandwidth and reliability requirements. In networks without infrastructure, such as ad hoc and sensor networks, where a device performs as both a terminal and a router to forward data of other nodes, maintaining the network topology consumes considerable resources in terms of energy and bandwidth. These parameters need to be considered when designing routing protocols for wireless networks. To reduce the cost of the protocol overhead, some algorithms act on the forwarders, while others act on the transmission of messages. Finally, the hybrid ones are a combination of both. In this paper, we propose a new algorithm with two zoning strategies to enhance the performance of mobile network. The first strategy helps to select dispersive forwarders in order to reduce the collision in radio channel. The second strategy aims to reduce the transmission of redundant messages. Both strategies are based on the location information of nodes. We implemented our algorithm in the optimized link state routing protocol, the most used protocol in mobile ad hoc networks. We showed by simulations that our solution reduces drastically the cost of the overhead with no hindrance to the network topology.

Beschreibung: The use of completely automated systems for collecting sensor data with the aim of monitoring and controlling the quality of small-scale food processes is not widespread. Small and micro-enterprises usually do not carry out their own precompetitive research or prototype development as regards to automation technologies. This study proposes a web-based, low-cost monitoring and supervisory control and data acquisition (SCADA) system whose kernel is available for free, as a possible solution that could be adopted by these food producers. It is mainly based on open SW/HW so as its configuration is adaptable to the application and type of plant. It presents a modular architecture and its main functionalities encompass the acquisition, management, aggregation and visualization of process data, providing an operating database. It also provides food tracking and process quality control: The time series are browsable due to QR-Code generation and different early warning detection strategies are implemented. A tool for solving migration problems based on Fick’s equation is offered as a packaging decision support system.

Beschreibung: The global connected cars market is growing rapidly. Novel services will be offered to vehicles, many of them requiring low-latency and high-reliability networking solutions. The Cloud Radio Access Network (C-RAN) paradigm, thanks to the centralization and virtualization of baseband functions, offers numerous advantages in terms of costs and mobile radio performance. C-RAN can be deployed in conjunction with a Multi-access Edge Computing (MEC) infrastructure, bringing services close to vehicles supporting time-critical applications. However, a massive deployment of computational resources at the edge may be costly, especially when reliability requirements demand deployment of redundant resources. In this context, cost optimization based on integer linear programming may result in being too complex when the number of involved nodes is more than a few tens. This paper proposes a scalable approach for C-RAN and MEC computational resource deployment with protection against single-edge node failure. A two-step hybrid model is proposed to alleviate the computational complexity of the integer programming model when edge computing resources are located in physical nodes. Results show the effectiveness of the proposed hybrid strategy in finding optimal or near-optimal solutions with different network sizes and with affordable computational effort.

Beschreibung: Interference alignment (IA) is an innovative wireless transmission strategy that has shown to be a promising technique for achieving optimal capacity scaling of a multiuser interference channel at asymptotically high-signal-to-noise ratio (SNR). Transmitters exploit the availability of multiple signaling dimensions in order to align their mutual interference at the receivers. Most of the research has focused on developing algorithms for determining alignment solutions as well as proving interference alignment’s theoretical ability to achieve the maximum degrees of freedom in a wireless network. Cognitive radio, on the other hand, is a technique used to improve the utilization of the radio spectrum by opportunistically sensing and accessing unused licensed frequency spectrum, without causing harmful interference to the licensed users. With the increased deployment of wireless services, the possibility of detecting unused frequency spectrum becomes diminished. Thus, the concept of introducing interference alignment in cognitive radio has become a very attractive proposition. This paper provides a survey of the implementation of IA in cognitive radio under the main research paradigms, along with a summary and analysis of results under each system model.

Beschreibung: The Robotic Vessels as-a-Service (RoboVaaS) project intends to exploit the most advanced communication and marine vehicle technologies to revolutionize shipping and near-shore operations, offering on-demand and cost-effective robotic-aided services. In particular, the RoboVaaS vision includes a ship hull inspection service, a quay walls inspection service, an antigrounding service, and an environmental and bathymetry data collection service. In this paper, we present a study of the underwater environmental data collection service, performed by a low-cost autonomous vehicle equipped with both a commercial modem and a very low-cost acoustic modem prototype, the smartPORT Acoustic Underwater Modem (AHOI). The vehicle mules the data from a network of low cost submerged acoustic sensor nodes to a surface sink. To this end, an underwater acoustic network composed by both static and moving nodes has been implemented and simulated with the DESERT Underwater Framework, where the performance of the AHOI modem has been mapped in the form of lookup tables. The performance of the AHOI modem has been measured near the Port of Hamburg, where the RoboVaaS concept will be demonstrated with a real field evaluation. The transmission with the commercial modem, instead, has been simulated with the Bellhop ray tracer thanks to the World Ocean Simulation System (WOSS), by considering both the bathymetry and the sound speed profile of the Port of Hamburg. The set up of the polling-based MAC protocol parameters, such as the maximum backoff time of the sensor nodes, appears to be crucial for the network performance, in particular for the low-cost low-rate modems. In this work, to tune the maximum backoff time during the data collection mission, an adaptive mechanism has been implemented. Specifically, the maximum backoff time is updated based on the network density. This adaptive mechanism results in an 8% improvement of the network throughput.

Beschreibung: The use of wireless sensor networks, which are the key ingredient in the growing Internet of Things (IoT), has surged over the past few years with a widening range of applications in the industry, healthcare, agriculture, with a special attention to monitoring and tracking, often tied with security issues. In some applications, sensors can be deployed in remote, large unpopulated areas, whereas in others, they serve to monitor confined busy spaces. In either case, clustering the sensor network’s nodes into several clusters is of fundamental benefit for obvious scalability reasons, and also for helping to devise maintenance or usage schedules that might greatly improve the network’s lifetime. In the present paper, we survey and compare popular and advanced clustering schemes and provide a detailed analysis of their performance as a function of scale, type of collected data or their heterogeneity, and noise level. The testing is performed on real sensor data provided by the UCI Machine Learning Repository, using various external validation metrics.

Beschreibung: In underground (UG) multiple-input and multiple-output (MIMO), transmit beamforming is used to focus energy in the desired direction. There are three different paths in the underground soil medium through which the waves propagate to reach the receiver. When the UG receiver receives a desired data stream only from the desired path, then the UG MIMO channel becomes a three-path (lateral, direct, and reflected) interference channel. Accordingly, the capacity region of the UG MIMO three-path interference channel, and the degrees of freedom (multiplexing gain of this MIMO channel) requires careful modeling. Therefore, expressions are required for the degrees of freedom of the UG MIMO interference channel. The underground receiver needs to perfectly cancel the interference from the three different components of the EM waves propagating in the soil medium. This concept is based upon reducing the interference of the undesired components to a minimum level at the UG receiver using the receive beamforming. In this paper, underground environment-aware MIMO using transmit and receive beamforming has been developed. The optimal transmit and receive beamforming, combining vectors under minimal intercomponent interference constraints, are derived. It is shown that UG MIMO performs best when all three components of the wireless UG channel are leveraged for beamforming. The environment-aware UG MIMO technique leads to three-fold performance improvements and paves the way for design and development of next-generation sensor-guided irrigation systems in the field of digital agriculture. Based on the analysis of underground radio-wave propagation in subsurface radio channels, a phased-array antenna design is presented that uses water content information and beam-steering mechanisms to improve efficiency and communication range of wireless underground communications. It is shown that the subsurface beamforming using phased-array antennas improves wireless underground communications by using the array element optimization and soil–air interface refraction adjustment schemes. This design is useful for subsurface communication system where sophisticated sensors and software systems are used as data collection tools that measure, record, and manage spatial and temporal data in the field of digital agriculture.

Beschreibung: A new positioning algorithm for distance measurement systems is outlined herein. This algorithm utilizes a non-linear error function which allows us to improve the positioning accuracy in highly difficult indoor environments. The non-linear error function also allows us to adjust the performance of the algorithm to the particular environmental conditions. The well-known positioning algorithms have limitations, mentioned by their authors, which make them unsuitable for positioning in an indoor environment. In this article, there is a brief discussion about the most popular positioning algorithms with consideration of the indoor environment. The new positioning algorithm is described in detail and a comparative performance analysis of the well-known algorithms and the proposed one is conducted. Those research results are achieved with the utilization of real distance measurement data, collected inside a few different buildings, and they show that the proposed algorithm outperforms the Chan and Foy algorithms in indoor environments. In this article the Automatic Person Localization System (SALOn) is also presented, which was utilized to collect measurement data.

Beschreibung: Designing Internet of Things (IoT) applications faces many challenges including security, massive traffic, high availability, high reliability and energy constraints. Recent distributed computing paradigms, such as Fog and multi-access edge computing (MEC), software-defined networking (SDN), network virtualization and blockchain can be exploited in IoT networks, either combined or individually, to overcome the aforementioned challenges while maintaining system performance. In this paper, we present a framework for IoT that employs an edge computing layer of Fog nodes controlled and managed by an SDN network to achieve high reliability and availability for latency-sensitive IoT applications. The SDN network is equipped with distributed controllers and distributed resource constrained OpenFlow switches. Blockchain is used to ensure decentralization in a trustful manner. Additionally, a data offloading algorithm is developed to allocate various processing and computing tasks to the OpenFlow switches based on their current workload. Moreover, a traffic model is proposed to model and analyze the traffic indifferent parts of the network. The proposed algorithm is evaluated in simulation and in a testbed. Experimental results show that the proposed framework achieves higher efficiency in terms of latency and resource utilization.

Beschreibung: In the last decade, video surveillance systems have become more and more popular. Thanks to a decrease in price of video camera devices and the diffusion of cheap small unmanned aerial vehicles (UAVs), video monitoring is today adopted in a wide range of application cases, from road traffic control to precision agriculture. This leads to capture a great amount of visual material to be monitored and screened for event detection. However, information that is gathered from a platform of video monitoring UAVs may produce high-volume data, whose processing is unfeasible to be done locally by the same UAVs that perform monitoring. Moreover, because of the limited bandwidth of wireless links connecting UAVs to computing infrastructures that are installed on ground, offloading these data to edge clouds renders these platforms infeasible for video analysis applications with low-latency requirements. The target of this paper is to extend a 5G network slice for video monitoring with a Flying Ad-hoc NETwork (FANET) constituted by UAVs with multi-access edge computing (MEC) facilities (MEC UAVs), flying very close to the layer of UAVs monitoring the area of interest. A policy for mutual help among MEC UAVS is defined in order to increase the performance of the whole aerial MEC platform, so further reducing end-to-end latency between sources and actuators, and increasing system reliability. A use case is considered for a numerical analysis of the proposed platform.

Beschreibung: Ultra-Dense Network (UDN) deployment is considered a key element to achieve the requested capacity in future fifth-generation (5G) mobile networks. Backhaul networks in UDNs are formed by heterogeneous links with multi-hop connections and must handle massive traffic. Backhauling in future 5G networks may represent the capacity bottleneck. Therefore, there is the need for efficient and flexible routing schemes able to handle the dynamism of the traffic load in capacity-limited networks. Toward this goal, the emerging Software-Defined Network (SDN) paradigm provides an efficient solution, transferring the routing operation from the data plane switches to a central controller, thus achieving more flexibility, efficiency, and faster convergence time in comparison to conventional networks. This paper proposes and investigates an SDN-approach for an efficient routing in a capacity-limited backhaul network that carries data and control traffic of a heterogeneous UDN. The routing algorithm is centralized in the SDN controller and two different types of traffic flow are considered: data and control plane coordination traffic. The goal is to reduce or even to avoid the amount of traffic that the backhaul network is not able to support, distributing in a fair way the eventual lack of bandwidth among different access points. Simulation results show that with the considered approach the performance significantly improves, especially when there is an excess of traffic load in the network. Moreover, thanks to the SDN-based design, the network can reconfigure the traffic routing depending on the changing conditions.

Beschreibung: The Internet of Things (IoT) is the global network of interrelated physical devices such as sensors, actuators, smart applications, objects, computing devices, mechanical machines, and people that are becoming an essential part of the internet. In an industrial environment, these devices are the source of data which provide abundant information in manufacturing processes. Nevertheless, the massive, heterogeneous, and time-sensitive nature of the data brings substantial challenges to the real-time collection, processing, and decision making. Therefore, this paper presents a framework of an IoT-based Industrial Data Management System (IDMS) which can manage the huge industrial data, support online monitoring, and control smart manufacturing. The framework contains five basic layers such as physical, network, middleware, database, and application layers to provide a service-oriented architecture for the end users. Experimental results from a smart factory case study demonstrate that the framework can manage the regular data and urgent events generated from various factory devices in the distributed industrial environment through state-of-the-art communication protocols. The collected data is converted into useful information which improves productivity and the prognosis of production lines.

Beschreibung: Cloud computing technology enables efficient utilization of available physical resources through the virtualization where different clients share the same underlying physical hardware infrastructure. By utilizing the cloud computing concept, distributed, scalable and elastic computing resources are provided to the end-users over high speed computer networks (the Internet). Cloudlet scheduling that has a significant impact on the overall cloud system performance represents one of the most important challenges in this domain. In this paper, we introduce implementations of the original and hybridized monarch butterfly optimization algorithm that belongs to the category of swarm intelligence metaheuristics, adapted for tackling the cloudlet scheduling problem. The hybridized monarch butterfly optimization approach, as well as adaptations of any monarch butterfly optimization version for the cloudlet scheduling problem, could not be found in the literature survey. Both algorithms were implemented within the environment of the CloudSim platform. The proposed hybridized version of the monarch butterfly optimization algorithm was first tested on standard benchmark functions and, after that, the simulations for the cloudlet scheduling problem were performed using artificial and real data sets. Based on the obtained simulation results and the comparative analysis with six other state-of-the-art metaheuristics and heuristics, under the same experimental conditions and tested on the same problem instances, a hybridized version of the monarch butterfly optimization algorithm proved its potential for tackling the cloudlet scheduling problem. It has been established that the proposed hybridized implementation is superior to the original one, and also that the task scheduling problem in cloud environments can be more efficiently solved by using such an algorithm with positive implications to the cloud management.

Beschreibung: This work proposes a novel approach for tracking a moving target in non-line-of-sight (NLOS) environments based on range estimates extracted from received signal strength (RSS) and time of arrival (TOA) measurements. By exploiting the known architecture of reference points to act as an improper antenna array and the range estimates, angle of arrival (AOA) of the signal emitted by the target is first estimated at each reference point. We then show how to take advantage of these angle estimates to convert the problem into a more convenient, polar space, where a linearization of the measurement models is easily achieved. The derived linear model serves as the main building block on top of which prior knowledge acquired during the movement of the target is incorporated by adapting a Kalman filter (KF). The performance of the proposed approach was assessed through computer simulations, which confirmed its effectiveness in combating the negative effect of NLOS bias and superiority in comparison with its naive counterpart, which does not take prior knowledge into consideration.

Beschreibung: Internet of Things (IoT) holds great promises for industrial, commercial, and consumer applications. While wireless techniques have matured with time and have gained the users’ confidence in relaying data containing qualitative as well as quantitative information, cynicism still exists on trusting them for applications involving control. The wireless protocols and techniques used for industrial control have proved their robustness. In this work we have attempted to test some aspects of feasibility on the use of wireless control involving such protocols for IoT healthcare sensor networks (IoT-HSNs). We conceptualized and simulated a 24-channel IoT-HSN model that includes biosensors as well as bioactuators. Currently, no protocol supporting control in such networks has been standardized. We tried to fit in the widely used WirelessHART (Highway Addressable Remote Transducer) industrial protocol for sensing as well as control in the model to test if it would work for a healthcare sensor network. We probed the performance of the model with respect to network parameters such as channels, bandwidth, Quality of Service (QoS) requirements, payload, transmission delays, and allowable errors. For the parameters considered, the results obtained from the model were encouraging, suggesting that WirelessHART fits the IoT-HSN control requirements according to this initial probe. The findings could provide useful insights for researchers working in the field of control in IoT-HSNs and for designers and manufacturers of IoT-HSN equipment.

Beschreibung: A wireless Underground Sensor Network (WUSN) is a group of sensors that collectively communicate through the underground medium. Radio Frequency (RF) signal transmission of the sensors through the ground is the most challenging aspects of a WUSN due to the high attenuation of the electromagnetic (EM) signal in the soil. Signals are often required to travel through soils with a high density or water content and generally through a non-isotropic and non-homogenous soil mixture with different boundaries, both of which can attenuate the signal sharply. The variability of the these conditions and complexity of the behaviour of signal attenuation with respect to these parameters makes accurate estimation of EM signal attenuation in soil challenging. Two main EM signal attenuation models exist to estimate attenuation (modified-Friis and Complex Refractive Index Model-Fresnel (CRIM-Fresnel). These were reviewed and a methodology was developed in order to measure the attenuation of the EM signals in the laboratory. Results from the laboratory measurements were compared with the estimation values calculated from the attenuation models. These comparisons showed a large difference between the estimated values by the models. In addition, analysis of the comparison tests showed that the CRIM-Fresnel model provides a better estimation of attenuation in samples with lower permittivity values while the modified-Friis model had a higher accuracy in samples with higher clay/water content which have higher permittivity values.

Beschreibung: Falls are a main cause of injury for patients with certain diseases. Patients who wear health monitoring systems can go about daily activities without limitations, thereby enhancing their quality of life. In this paper, patient falls and heart rate were accurately detected and measured using two proposed algorithms. The first algorithm, abnormal heart rate detection (AHRD), improves patient heart rate measurement accuracy and distinguishes between normal and abnormal heart rate functions. The second algorithm, TB-AIC, combines an acceleration threshold and monitoring of patient activity/inactivity functions to accurately detect patient falls. The two algorithms were practically implemented in a proposed autonomous wireless health monitoring system (AWHMS). The AWHMS was implemented based on a GSM module, GPS, microcontroller, heartbeat and accelerometer sensors, and a smartphone. The measurement accuracy of the recorded heart rate was evaluated based on the mean absolute error, Bland–Altman plots, and correlation coefficients. Fourteen types of patient activities were considered (seven types of falling and seven types of daily activities) to determine the fall detection accuracy. The results indicate that the proposed AWHMS succeeded in monitoring the patient’s vital signs, with heart rate measurement and fall detection accuracies of 98.75% and 99.11%, respectively. In addition, the sensitivity and specificity of the fall detection algorithm (both 99.12%) were explored.

Beschreibung: With the increase of population density and the rural exodus to cities, urbanization is assuming extreme proportions and presents a tremendous urban problem related to waste generation. The increase of waste generation has been considered a significant challenge to large urban centers worldwide and represents a critical issue for countries with accelerated population growth in cities. The Internet of Things (IoT) and cloud computing offer an automation possibility through cyberphysical systems that will change the way solid waste management is performed. Considering IoT requirements, a review analysis of waste management models available in the literature is performed in detail in this paper. Then, a deep review is undertaken of the related literature based on IoT infrastructure for efficient handling of waste generated in urban scenarios, focusing on the interaction among concessionaires and waste generators (citizens) from the perspective of a shorter collection time with reduced costs, as well as citizenship promotion. An IoT-based reference model is described, and a comparison analysis of the available solutions is presented, with the goal to highlight the most relevant approaches and identify open research issues on the topic.

Beschreibung: In this paper, we compute the affective-aesthetic potential (AAP) of literary texts by using a simple sentiment analysis tool called SentiArt. In contrast to other established tools, SentiArt is based on publicly available vector space models (VSMs) and requires no emotional dictionary, thus making it applicable in any language for which VSMs have been made available (〉150 so far) and avoiding issues of low coverage. In a first study, the AAP values of all words of a widely used lexical databank for German were computed and the VSM’s ability in representing concrete and more abstract semantic concepts was demonstrated. In a second study, SentiArt was used to predict ~2800 human word valence ratings and shown to have a high predictive accuracy (R2 〉 0.5, p 〈 0.0001). A third study tested the validity of SentiArt in predicting emotional states over (narrative) time using human liking ratings from reading a story. Again, the predictive accuracy was highly significant: R2adj = 0.46, p 〈 0.0001, establishing the SentiArt tool as a promising candidate for lexical sentiment analyses at both the micro- and macrolevels, i.e., short and long literary materials. Possibilities and limitations of lexical VSM-based sentiment analyses of diverse complex literary texts are discussed in the light of these results.

Beschreibung: Blockchain technology has an enormous scope to revamp the healthcare system in many ways as it improves the quality of healthcare by data sharing among all the participants, selective privacy and ensuring data safety. This paper explores the basics of blockchain, its applications, quality of experience and advantages in disease surveillance over the other widely used real-time and machine learning techniques. The other real-time surveillance systems lack scalability, security, interoperability, thus making blockchain as a choice for surveillance. Blockchain offers the capability of enhancing global health security and also can ensure the anonymity of patient data thereby aiding in healthcare research. The recent epidemics of re-emerging infections such as Ebola and Zika have raised many concerns regarding health security which resulted in strengthening the surveillance systems. We also discuss how blockchains can help in identifying the threats early and reporting them to health authorities for taking early preventive measures. Since the Global Health Security Agenda addresses global public health threats (both infectious and NCDs); strengthen the workforce and the systems; detect and respond rapidly and effectively to the disease threats; and elevate global health security as a priority. The blockchain has enormous potential to disrupt many current practices in traditional disease surveillance and health care research.

Beschreibung: Today’s rapid growth of elderly populations and aging problems coupled with the prevalence of obstructive sleep apnea (OSA) and other health related issues have affected many aspects of society. This has led to high demands for a more robust healthcare monitoring, diagnosing and treatments facilities. In particular to Sleep Medicine, sleep has a key role to play in both physical and mental health. The quality and duration of sleep have a direct and significant impact on people’s learning, memory, metabolism, weight, safety, mood, cardio-vascular health, diseases, and immune system function. The gold-standard for OSA diagnosis is the overnight sleep monitoring system using polysomnography (PSG). However, despite the quality and reliability of the PSG system, it is not well suited for long-term continuous usage due to limited mobility as well as causing possible irritation, distress, and discomfort to patients during the monitoring process. These limitations have led to stronger demands for non-contact sleep monitoring systems. The aim of this paper is to provide a comprehensive review of the current state of non-contact Doppler radar sleep monitoring technology and provide an outline of current challenges and make recommendations on future research directions to practically realize and commercialize the technology for everyday usage.

Beschreibung: Cognitive deterioration caused by illness or aging often occurs before symptoms arise, and its timely diagnosis is crucial to reducing its medical, personal, and societal impacts. Brain–computer interfaces (BCIs) stimulate and analyze key cerebral rhythms, enabling reliable cognitive assessment that can accelerate diagnosis. The BCI system presented analyzes steady-state visually evoked potentials (SSVEPs) elicited in subjects of varying age to detect cognitive aging, predict its magnitude, and identify its relationship with SSVEP features (band power and frequency detection accuracy), which were hypothesized to indicate cognitive decline due to aging. The BCI system was tested with subjects of varying age to assess its ability to detect aging-induced cognitive deterioration. Rectangular stimuli flickering at theta, alpha, and beta frequencies were presented to subjects, and frontal and occipital Electroencephalographic (EEG) responses were recorded. These were processed to calculate detection accuracy for each subject and calculate SSVEP band power. A neural network was trained using the features to predict cognitive age. The results showed potential cognitive deterioration through age-related variations in SSVEP features. Frequency detection accuracy declined after age group 20–40, and band power declined throughout all age groups. SSVEPs generated at theta and alpha frequencies, especially 7.5 Hz, were the best indicators of cognitive deterioration. Here, frequency detection accuracy consistently declined after age group 20–40 from an average of 96.64% to 69.23%. The presented system can be used as an effective diagnosis tool for age-related cognitive decline.