Optimization of Deployment Quality for Intrusion Detection in Surveillance Wireless Sensor Network

The volatile nature of wireless sensor network promise a lot of scopes in diverse disciplines. It is highly applicable in hostile environment, where nodes can be only deployed randomly, without having any predetermined statistical distribution. The fundamental challenges arise to provide maximum coverage and connectivity in hostile vicinity. A detailed analysis of node density, is required to achieve appropriate coverage. The problem of coverage is solved by optimum distribution scenario and sensing range of sensor nodes. Our goal is to achieve promising deployment quality and detection probability, by mapping the problem of intruder detection with geometric intersection domain, a tool from integral geometry and geometric probability. The proposed deployment quality analysis computes number of sensor nodes, required to attain optimum detection performance.