Neighbor Collaboration Detection in Wireless Sensor Networks

In this paper, we explore two important issues for distributed target detection in wireless sensor network (WSN): (1) How to increase efficient-energy for each sensor; (2) How to improve the detection precision about whether a target is occurring in the event region. We present a neighbor collaboration detection (NCD) scheme that introduces a clustered fusion into target detection process. Based on MAP decision criterion, we propose an optimal fusion decision. We mathematically show that the NCD Scheme vastly improves the target detection precision, when the number of neighbor sensor is large.