Improving the Accuracy of Object Tracking in Three Dimensional WSNs Using Bayesian Estimation Methods

Target tracking plays a critical role in the applications of wireless sensor networks. In this paper, we propose a target tracking algorithm based on Bayesian estimation, the key steps involved in the algorithm include target detection based on a probabilistic model, preliminary localization using the two-stage target locating algorithm, further prediction adopting Bayesian estimation. Simulation results show that our simple and effective algorithm can accurately track the target and save much energy during the tracking process of a moving target.