A moving target collaborative tracking algorithm based on dynamic fuzzy clustering

摘要

In this paper, a collaborative tracking algorithm is proposed for settling the accuracy and energy consumption problems of moving targets tracking in wireless sensor networks that combined dynamic fuzzy clustering algorithm with behavior recognition solution. We can first subdivide the wireless sensor monitors into two types: the behavior recognition monitors and the collaborative tracking monitors, and then settle all the monitors by dynamic fuzzy clustering algorithm that utilizes the behavior recognition monitors as the original points. Each behavior recognition monitor is obliged to judge the behaviors of moving target and to wake up the corresponding collaborative tracking monitors using prediction and awakening mechanism aim at abnormal moving targets. Finally, we compare the solution with several existing methods in simulation environment, the statistics results show that the algorithm we proposed has a better tracking accuracy, which reduces energy consumption simultaneously.