A Weighted Centroid Based Tracking System in Wireless Sensor Networks

摘要

This paper designs a target tracking system in wireless sensor networks. Considering the special requirements of target tracking, we adopt a sleeping schedule into the tracking procedure to reduce the number of nodes. To describe the trajectory of the target, we propose a hacking model based on random walk of Markov Chain. To simplify the complexity of localization, we incorporate two efficient weighted methods into our centroid localization algorithm. The experimental results show the efficiency of our system.