IDSA: Intelligent Distributed Sensor Activation Algorithm For Target Tracking With Wireless Sensor Network

Target tracking using Wireless Sensor Network (WSN) is an interesting and important application. In this paper, we propose an energy-efficient distributed sensor activation protocol based on predicted location technique, called Intelligent Distributed Sensor Activation Algorithm (IDSA). The proposed algorithm predicts the location of target in the next time interval, by analyzing current location and movement history of the target. This prediction is done by a computational intelligence based method. The fewest essential number of sensor nodes within the predicted location are activated for covering the target. The experimental results confirm that our method work like to the existing methods such as Naïve and DSA in terms of energy consumption and the number of nodes that was involved in tracking the target.