Saving energy while preserving accuracy is of paramount importance to target tracking in wireless sensor networks. is paper presents an energy-efficient selection of cooperative nodes. In the proposed method, the target detection probability is estimated by single-node processing based on particle �lter. en, an ob�ective function for collaborative target tracking in wireless sensor networks is constructed according to the information utility and the remaining energy of sensor nodes. With this understanding, a dynamic node selection scheme based on genetic algorithms is proposed, which can optimize the tradeoff between the accuracy of tracking and the energy cost of nodes. Simulations demonstrate its superior performance in estimating the target location and saving sensor nodes energy.
A node selection scheme is presented in REF , which gives full consideration to both the information utility for the quality of tracking and the remaining energy of nodes to determine the longetivity of nodes.
Energy-Efficient Node Selection for Target Tracking in Wireless Sensor Networks
International Journal of Distributed Sensor Networks
Computer Science