Footstep and Vehicle Detection Using Seismic Sensors in Wireless Sensor Network: Field Tests
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 co...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2013-10-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2013/120386 |
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| _version_ | 1832553292580782080 |
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| author | Gökhan Koç Korkut Yegin |
| author_facet | Gökhan Koç Korkut Yegin |
| author_sort | Gökhan Koç |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-ca77e2842bc04b82a910a628cb0e7431 |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2013-10-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-ca77e2842bc04b82a910a628cb0e74312025-02-03T05:54:32ZengWileyInternational Journal of Distributed Sensor Networks1550-14772013-10-01910.1155/2013/120386Footstep and Vehicle Detection Using Seismic Sensors in Wireless Sensor Network: Field TestsGökhan Koç0Korkut Yegin1 Department of Electrical and Electronics Engineering, Yeditepe University, Istanbul 34755, Turkey Department of Electrical and Electronics Engineering, Yeditepe University, Istanbul 34755, TurkeyExtensive 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.https://doi.org/10.1155/2013/120386 |
| spellingShingle | Gökhan Koç Korkut Yegin Footstep and Vehicle Detection Using Seismic Sensors in Wireless Sensor Network: Field Tests International Journal of Distributed Sensor Networks |
| title | Footstep and Vehicle Detection Using Seismic Sensors in Wireless Sensor Network: Field Tests |
| title_full | Footstep and Vehicle Detection Using Seismic Sensors in Wireless Sensor Network: Field Tests |
| title_fullStr | Footstep and Vehicle Detection Using Seismic Sensors in Wireless Sensor Network: Field Tests |
| title_full_unstemmed | Footstep and Vehicle Detection Using Seismic Sensors in Wireless Sensor Network: Field Tests |
| title_short | Footstep and Vehicle Detection Using Seismic Sensors in Wireless Sensor Network: Field Tests |
| title_sort | footstep and vehicle detection using seismic sensors in wireless sensor network field tests |
| url | https://doi.org/10.1155/2013/120386 |
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