Hybrid Energy-Efficient Approach for Target Tracking via Sensor Networks

This paper considers problem of target tracking in wireless sensor networks. In particular we aim to integrate the concept of tracking algorithm with heuristic approach to reduce energy consumption as well as gain efficient accuracy. Based on the fact that the movements of the tracked objects are sometimes predictable. In this work we intend to predict the next position of intruding object utilizing Prediction-Based method. Therefore wake-up signals are sent only to predicted neighbor nodes. The algorithm has been compared with other two schemes Direct Communication and OCO by means of simulation tools. Our Results show that our approach consumes less energy while achieves optimal accuracy. In nutshell we have integrated image processing, structure-based and heuristic approach to achieve efficient tracking scheme in wireless sensor networks.