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Footstep and Vehicle Detection Using Seismic Sensors in Wireless Sensor Network : Field Tests
Joint Authors
Source
International Journal of Distributed Sensor Networks
Issue
Vol. 2013, Issue - (31 Dec. 2013), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-10-27
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Telecommunications Engineering
Information Technology and Computer Science
Abstract EN
Extensive field tests were carried out to assess the performance of adaptive thresholds algorithm for footstep and vehicle detection using seismic sensors.
Each seismic sensor unit is equipped with wireless sensor node to communicate critical data to sensor gateway.
Results from 92 different test configurations were analyzed in terms of detection and classification.
Hit and false alarm rates of classification algorithm were formed, and detection ranges were determined based on these results.
Amplification values of low-intensity seismic data were also taken into account in the analysis.
Algorithm-dependent constants such as adaptive thresholds sample sizes were examined for performance.
Detection and classification of seismic signals due to footstep, rain, or vehicle were successfully performed.
American Psychological Association (APA)
Koç, Gökhan& Yeğin, Korkut. 2013. Footstep and Vehicle Detection Using Seismic Sensors in Wireless Sensor Network : Field Tests. International Journal of Distributed Sensor Networks،Vol. 2013, no. -, pp.1-8.
https://search.emarefa.net/detail/BIM-447241
Modern Language Association (MLA)
Koç, Gökhan& Yeğin, Korkut. Footstep and Vehicle Detection Using Seismic Sensors in Wireless Sensor Network : Field Tests. International Journal of Distributed Sensor Networks Vol. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-447241
American Medical Association (AMA)
Koç, Gökhan& Yeğin, Korkut. Footstep and Vehicle Detection Using Seismic Sensors in Wireless Sensor Network : Field Tests. International Journal of Distributed Sensor Networks. 2013. Vol. 2013, no. -, pp.1-8.
https://search.emarefa.net/detail/BIM-447241
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-447241