Collaborative Target Tracking Strategy in Distributed Wireless Sensor Networks

Target tracking in complex situations is challenging,especially in visual tracking,which is always performed in single-view system.Because of the conflict between resolution and tracking range,however,single-view tracking is not robust and accurate.This paper presents a distributed multi-view tracking system using collaborative signal processing(CSP) in distributed wireless sensor networks(DWSNs),and introduces a progressive distributed data fusion mechanism.This mechanism dynamically chooses the optimal sensor nodes and schedules the fusion process with several measures of energy consumption and information utility.Finally,an indoor target tracking experiment is illustrated,and then tracking performance,execution time and energy consumption of progressive distributed data fusion based CSP are compared with centralized data fusion based CSP.Experimental results demonstrate that the distributed multi-view tracking system using progressive distributed data fusion based CSP in DWSNs can track the 3-D positions of targets quickly and accurately,and decrease the congestion,energy consumption and time latency in communication.