Abstract
Sensor scheduling is essential to collaborative target tracking in wireless sensor networks (WSNs). Most existing sensor scheduling schemes are implemented via the single-step mechanism. To improve the overall performance on energy efficiency and tracking accuracy, in this paper, we propose a novel multi-step sensor scheduling approach using the branch-and-bound algorithm. The approach adopts the Extended Kalman Filter (EKF) to predict the tracking accuracy over a multi-step horizon, and an energy consumption model to calculate the corresponding energy cost. Simulation results demonstrate that, compared to the single-step sensor scheduling approach, the proposed approach can decrease the energy consumption and increase the tracking accuracy significantly.
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