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  • 1
    Publication Date: 2013-04-01
    Description: Energy efficiency is one of the most important issues for WSNs, because the battery of each wireless sensor node cannot be recharged or replaced. Therefore, all batteries have to be well managed, in order to provide a long network lifetime, as well as to reduce energy consumption for WSNs, particularly in clustering and routing. In this paper, we propose an energy-efficient self-organized clustering model with splitting and merging (EECSM), which performs clustering and then splits and merges clusters for energy-efficient cluster-based routing. EECSM uses information of the energy state of sensor nodes, in order to reduce energy consumption and maintain load balance. We show the validity of splitting and merging of clusters and then compare the performance of the proposed EECSM with that of a well-known cluster-based self-organization routing protocol for WSNs. The results of our experiment show good performance of EECSM, in terms of network lifetime, residual energies, scalability, and robustness.
    Print ISSN: 1550-1329
    Electronic ISSN: 1550-1477
    Topics: Electrical Engineering, Measurement and Control Technology
    Published by Hindawi
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  • 2
    Publication Date: 2014-03-24
    Description: Energy efficiency is one of the most important issues for operations of wireless sensor networks. To increase network lifetime and to reduce energy consumption of sensor nodes, many clustering and routing protocols have been studied. In this paper, we propose an energy-efficient cooperative communication method which forms clusters and establishes intercluster routes directly or via relay nodes. Relay nodes selected by the cooperation of adjacent cluster heads along with their cluster members can prevent long-haul transmissions of cluster heads. This can reduce the energy consumption of cluster heads. We show the validity of using relay nodes and then compare the performance of the proposed method with that of a well-known clustering and routing protocol for wireless sensor networks. Our computational experiments demonstrate that network lifetime, energy consumption, and scalability of the proposed method are better than those of the compared method.
    Print ISSN: 1550-1329
    Electronic ISSN: 1550-1477
    Topics: Electrical Engineering, Measurement and Control Technology
    Published by Hindawi
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
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