Object Tracking Based on the Prediction of Trajectory in Wireless Sensor Networks

Wireless sensor network has been used for many years, and a great number of schemes and applications have been developed based on it. Object tracking is one of key tasks which are required in a number of applications of WSN. In this paper we propose an efficient prediction-based object tracking scheme employing the face network topology. The proposed scheme uses the trajectory of the object and enhanced least square method to predict the path. Computer simulation reveals that the proposed scheme improves the tracking accuracy and energy efficiency compared to the existing prediction-based scheme. The improvement gets more significant as the moving speed of the object becomes higher.