Footstep and Vehicle Detection Using Seismic Sensors in Wireless Sensor Network: Field Tests

Abstract

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.

Maximum Data Generation Rate Routing Protocol based on Data Flow Controlling Technology for Rechargeable Wireless Sensor Networks

“…Thus, the problem of battery have restricted significantly the the wide applications of WSNs. At present, for extending the lifetime of nodes, they are equipped with rechargeable technologies [He, Chen, Jiang et al (2011)], such as, rechargeable batteries or super-capacitor(in the order of a million recharge cycles [Sudevalayam and Kulkarni (2011))], which converts sources (e.g., body heat [Siddique, Wang, Madeo et al (2014)], foot strike [Ko and Yegin (2013)], finger strokes [Kymissis, Kendall, Paradiso et al (2002)] and solar [Amruta and Satish (2013))] into electricity. Assuming energy neutral operation [Sudevalayam and Kulkarni (2011)], a sensor node 1 can operate perpetually when the energy expenditure rate is lower than the harvested energy rate.…”

IOT and XBee triggered based adaptive intrusion detection using geophone and quick response by UAV

“…The sampled signal received at the receiving unit is stored in .wav file [14] and the data is processed through MATLAB. The geophone data is band limited between the 10 Hz to 100 Hz using a band pass filter [15]. Peak amplitude of the band limited geophone is detected and is subjected to kurtosis operation and this kurtosis value is evaluated [16] and Intrusion occurs if this value is greater than three and location information like latitude and longitude of sensor node collected by the GPS system interfaced with the microcontroller of sensor node [17].…”

“…15 shows the schematics of sensor node and XBee coordinator to collect the information send to cloud using Wi-Fi link. The main elements of system are Arduino Nano, XBee, Geo phone and NodeMCU.…”

Forest intrusion detection system with sensor network

“…Seismic vibrations, caused by vehicles, were also used for detection. In [10] geophones were used, while in [11] MEMS accelerometers were utilized for vehicle detection.…”