Designing a prediction-based clustering algorithm for target tracking in wireless sensor networks

In recent years, energy consumption has been a critical constraint in wireless sensor networks (WSNs) and their 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. Proposed algorithm uses a prediction-based method in a clustered network. In this algorithm we use two parameters, distance from predicted location and remaining energy of nodes, for selection three sensor nodes for tracking.