An energy efficient zone-based clustering approach for target detection in wireless sensor networks

Target tracking is one of the challenging issues in WSN. The goal of using the sensor network over a region is to provide location of the detected object and to provide the real time report. In this paper we proposed an energy efficient algorithm for deciding the cluster and the head which is based on Zone formation. A node is elected as cluster head on the basis of highest residual energy in each zone. Proposed approach produces a method of tracking in which only those nodes are active which are able to sense the target in their sensing range and while acting these nodes calculates its distance from the target with the help of RSS (received signal strength) and send it to the corresponding head and this Cluster Head locate the target using the concept of “Trilateration”.