Designing an energy efficient prediction-based algorithm for target tracking in wireless sensor networks

Energy saving in wireless sensor networks (WSNs) has received a great deal of attention in recent years due to its wide applications. Target tracking is one of the most important of these applications. Using prediction-based methods for target tracking in WSNs, can improve energy consumption highly in these networks. Prediction-based methods, with prediction the target trajectory and its next location, only activate special nodes of network for tracking and rest of nodes remain in sleep mode for energy saving. In this paper we propose an energy efficient prediction-based method for target tracking. In this algorithm we use two parameters, distance from predicted location and remaining energy of nodes, for selection three sensor nodes for tracking. Moreover, in our algorithm localization of target is done locally. Simulation results show that the proposed algorithm has better performance in energy efficiency which leads to higher lifetime.