A distributed energy-efficient target tracking algorithm based on event-triggered strategy for sensor networks

This paper studies the distributed sensor activation and target tracking problem for wireless sensor networks with limited sensing range. A novel approach based on a fully distributed event-triggered sensor activation strategy and a fully distributed Kalman filtering algorithm is proposed. The node's detection activation strategy is designed based on an event-triggered mechanism to autonomously determine whether to detect the target or not such that each node achieves better trade-offs between tracking error and energy saving. The consensus Kalman filtering algorithm is based on the minimum trace principal. It is proved that the proposed distributed Kalman filtering algorithm with the event-triggered sensor activation strategy has better composite performance than the full-triggered scheme. And a necessary and sufficient condition for the stability of the proposed distributed target tracking algorithm is also given. A simulation example is given to illustrate the theoretic results.