Anomaly Event Detection Scheme Based on Compressive Sensing in Wireless Sensor Network
Jiang She · Jisuanji gongcheng · 2014
The anomaly event detection problem in Wireless Sensor Network(WSN) is currently a hot topic.In order to improve the detection efficiency,this paper proposes an anomaly event detection scheme based on compressive sensing.The measurements of the sensed data are obtained based on the compressive sampling,and the anomaly event detection problem is modeled as the reweighted l_1minimization problem,which is iteratively solved by the Orthogonal Matching Pursuit(OMP) algorithm.Furthermore,the solution is judged by the detection function.The weight is refreshed in the next iteration according to the judgments,until all abnormal events are detected in Wireless Sensor Network(WSN).Experimental results show that the proposed scheme can obtain the lower probability of missed detection and false alarm in different noise environments.Compared with the CCM and GEP-ADS scheme,the energy consumption of this scheme id saved by approximately 4.1%and 5.8%.