Distributed tracking and classification of targets with sensor networks

Localization and tracking of target is an important application of the wireless sensor network. In this paper, we propose to apply a classification algorithm to sensor network nodes aimed at target tracking. Localization and tracking is based on a distributed method that enables us to simplify the signal processing and makes a more robust system. Also we address to group sensors, each group or cluster is led by one of them (leader node/sensor). This sensor is responsible for processing all the information about the target and estimate its position. Simulation results show that this classification algorithm reduces the estimate error in tracking targets.