1. A Prediction-Based Algorithm for Tracking Moving Targets in Wireless Sensor Networks to Reduce the Number of Working Nodes

A crucial issue in wireless sensor networks is target tracking which aims to detect and follow the target upon arrival at the area of sensor nodes and this process continues until the target exits this area. Target tracking can be done in several ways including prediction. In this method, to save more energy, only the nodes that can see the target are awake at any moment. These nodes try to predict the next scope of target and awaken the nodes at that scope before reaching the target. A prediction-based target tracking method is presented that tries to awaken a very small number of nodes. Therefore, among the nodes that can track the target, only the two nearest nodes to the target awaken their neighbor nodes, and other nodes are not involved. To evaluate the proposed method, several experiments were conducted and the results were compared with those of similar methods such as Randomized Activation (RA), Naïve Activation (NA) and Distributed Sensor Activation (DSA) [3]. The simulation results show that the proposed method has higher accuracy in target tracking and can reduce energy consumption compared to previous methods to an acceptable level

Sensor networks, target, node, sensing range, communication range.