Abstract: Target tracking is one of the basic applications in wireless sensor networks (WSNs)．Because of the limitation of node energy,how to reduce node energy consumption to ensure the tracking accuracy is the major research．In this paper,the wireless sensor networks were divided into several polygons using RNG planarization technology,and weighted centroid algorithm based on the polygon structure was used to estimate the target’s position．Since the node sensor quality is inversely proportional to the distance,we gave the calculation method of node sensitivity,and proposed a node sensitivity-based autonomous decision-making target tracking algorithm (named NS-ADTT)．According to the node sensitivity and the local network,the node can make decision to participate or not in the current tracking．The simu-lation results show that our algorithm can reduce the tracking number of nodes and the energy consumption of network,and extend the network lifetime efficiently.

Key words: Sensor networks,Target locating,Target tracking,Node sensitivity,Node adjacent domain,Energy efficiency