Optimized energy efficient clustering and routing mechanism for target tracking in WSN [articol]

Abstract

Wireless Sensor Network plays a vital role in tracking the mobility of the target like animals habitat monitoring, vehicle monitoring etc. Many researches have been carried out for the precise identity of the target. In this research work, a distributed energy optimization method for target tracking is performed. The proposed work is comprised of estimation phase and prediction phase. Here, clustering is performed using maximum entropy clustering method. Grid exclusion is used for coverage of the nodes whereas Dijkstra algorithm for energy terminologies. Performance evaluation is carried out for the proposed target tracking method with the existing systems using network simulator software.