DocumentCode :
63774
Title :
Distributed Sensor System for Earthquake Early Warning Based on the Massive Use of Low Cost Accelerometers
Author :
Zambrano, Ana Maria ; Perez, Israel ; Palau, Carlos ; Esteve, Manuel
Author_Institution :
Univ. Politec. de Valencia, Valencia, Spain
Volume :
13
Issue :
1
fYear :
2015
fDate :
Jan. 2015
Firstpage :
291
Lastpage :
298
Abstract :
This paper presents a different and innovative proposal to detect seismic events, a solution that uses smartphones as opportunistic sensor nodes to obtain real-time knowledge of the community environment through a hierarchical architecture, taking advantage of this growing trend. A distributed low-cost network formed of smartphones capable of detect a seismic-peak with a high accuracy by means of converting accelerometers in accelerographs optimizing distributed calculations in these. A server which considers time and spatial analyses not present in another works, making it more precise and customizable, coupling it to the features of the geographical zone, network and resources. Validated by extensive evaluation, the most relevant results have been the improvement in notifications delivery about a seismic-peak 12 seconds earlier in the epicenter zone, the reduced consumption of mobile battery and the reduction in the number of false positives. In addition, this challenge becomes an great opportunity giving people as much as tens of seconds warning before an earthquake occurs in places far from the epicenter.
Keywords :
acceleration measurement; accelerometers; distributed sensors; earthquakes; seismology; smart phones; accelerographs; accelerometer conversion; accelerometer-based eartchquake warning system; accurate seismic-peak detection; community environment; distributed low-cost network; distributed sensor system; earthquake early warning; epicenter zone; false positive reduction; geographical zone features; hierarchical architecture; low cost accelerometers; network features; opportunistic sensor nodes; real-time knowledge; reduced mobile battery consumption; resource features; seimic peak-detecting smartphones; seismic event detection; spatial analyses; time analyses; Accelerometers; Earthquakes; Google; Micromechanical devices; Monitoring; Real-time systems; Smart phones; Accelerometers; Architecture; Distributed Detection; Multi-sensor Integration; Real time;
fLanguage :
English
Journal_Title :
Latin America Transactions, IEEE (Revista IEEE America Latina)
Publisher :
ieee
ISSN :
1548-0992
Type :
jour
DOI :
10.1109/TLA.2015.7040661
Filename :
7040661
Link To Document :
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