Saving energy while preserving accuracy is of paramount importance to target tracking in wireless sensor networks. ?is paper\r\npresents an energy-efficient selection of cooperative nodes. In the proposed method, the target detection probability is estimated\r\nby single-node processing based on particle ??lter. ?en, an ob??ective function for collaborative target tracking in wireless sensor\r\nnetworks is constructed according to the information utility and the remaining energy of sensor nodes. With this understanding,\r\na dynamic node selection scheme based on genetic algorithms is proposed, which can optimize the tradeoff between the accuracy\r\nof tracking and the energy cost of nodes. Simulations demonstrate its superior performance in estimating the target location and\r\nsaving sensor nodes energy.
Loading....