A Novel Adaptive Target Tracking Algorithm in Wireless Sensor Networks

Abstract

This Paper proposes an Information-based Adaptive Target algorithm, considering the mobility of a mobile target. This algorithm is based on dynamic cluster and the target prediction mechanism. It consciously adjusts the information collection distance and time interval, depending on the target’s velocity, acceleration and angle variations. And it adaptively adjusts the time interval of real cluster prediction formation, depending on the velocity and angle variations of a mobile target. When the predicted time interval which is used to generate the next real cluster leads to the formation of the dynamic real cluster is not continuous, it introduces another level monitoring mechanism, namely virtual cluster monitoring, which ensures that the mobile target has been monitored in WSN all the time. It achieves different levels of monitoring and data collection using real clusters and virtual clusters, and effectively saves system resources. Simulation results show that this algorithm has better tracking precision, low energy consumption under different scenes.