Publication Date:
2024-02-06
Description:
Earthquake Early Warning Systems (EEWSs) characterize seismic events in real time and
estimate the expected ground motion amplitude in specific areas to send alerts before the destructive waves
arrive. Together with the reliability of the results, the rapidity with which an EEWS can detect an earthquake
becomes a focal point for developing efficient seismic node networks. Internet of Things (IoT) architectures
can be used in EEWSs to expand a seismic network and acquire data even from low-cost seismic nodes.
However, the latency and the total alert time introduced by the adopted communication protocols should be
carefully evaluated. This study proposes an IoT solution based on the message queue-telemetry transport
protocol for the waveform transmission acquired by seismic nodes and presents a performance comparison
between it and the most widely used standard in current EEWSs. The comparison was performed in
evaluation tests where different seismic networks were simulated using a dataset of real earthquakes. This
study analyzes the phases preceding the earthquake detection, showing how the proposed solution detects
the same events of traditional EEWSs with a total alert time of approximately 1.6 seconds lower.
Description:
Published
Description:
43183 - 43194
Description:
OST4 Descrizione in tempo reale del terremoto, del maremoto, loro predicibilità e impatto
Description:
JCR Journal
Keywords:
Earthquake early warning systems
;
Internet of Things
;
message queue telemetry transport protocol
;
, SeedLink protocol
;
04.06. Seismology
Repository Name:
Istituto Nazionale di Geofisica e Vulcanologia (INGV)
Type:
article
