Realizing mobile node tracking in wireless sensor network based on Kalman filter

In this paper a novel method for tracking moving objects in wireless sensor network is presented. Firstly, the observed position is estimated by a moving object localization algorithm based on Received Signal Strength Indication (RSSI). Then, the estimated position is filtered by a Kalman filter in order to obtain a smoothed trajectory of moving objects movement. Simulation results show the effectiveness of presented algorithm in indoor environments.