Footstep and Vehicle Detection Using Seismic Sensors in Wireless Sensor Network: Field Tests
Makaleler > Tam Makale · 2013
Yazarlar: Gokhan Koc, Korkut YEĞİN
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, SCI Expanded İndekslerine Giren Dergi, Uluslararası, 2013, cilt 9, ss 120386-120386
DOI: 10.1155/2013/120386
Özet
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.