Sensor Management Under Tracking Accuracy and Energy Constraints in Wireless Sensor Networks

In this paper, we consider the problem of sensor selection in wireless sensor networks for target tracking, subject to limited energy consumption and a given tracking accuracy. A cost function is derived for this purpose based on the geometrical dilution of precision for the power measurement sensors. Then, a new adaptive method is proposed, in which the number of active sensors is adaptively determined based on the energy consumption and tracking error constraints, and the best topology of the active set is selected based on the closest sensor with replacement (CSWR) method. Simulation results show that the proposed sensor selection problem is effective in terms of balancing the tradeoff between energy consumption and tracking accuracy. Also, the CSWR algorithm is near optimal and its computational burden is comparable with the suboptimum algorithms.