Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming 650500, China.
Yunnan International Joint Laboratory of Intelligent Control and Application of Advanced Equipment, Kunming 650500, China.
Sensors (Basel). 2023 Mar 20;23(6):3261. doi: 10.3390/s23063261.
In the distributed information fusion of wireless sensor networks (WSNs), the filtering accuracy is commonly negatively correlated with energy consumption. Therefore, a class of distributed consensus Kalman filters was designed to balance the contradiction between them in this paper. Firstly, an event-triggered schedule was designed based on historical data within a timeliness window. Furthermore, considering the relationship between energy consumption and communication distance, a topological transformation schedule with energy-saving is proposed. The energy-saving distributed consensus Kalman filter with a dual event-driven (or event-triggered) strategy is proposed by combining the above two schedules. The sufficient condition of stability for the filter is given by the second Lyapunov stability theory. Finally, the effectiveness of the proposed filter was verified by a simulation.
在无线传感器网络（WSNs）的分布式信息融合中，滤波精度通常与能量消耗成负相关。因此，本文设计了一类分布式一致性卡尔曼滤波器来平衡它们之间的矛盾。首先，基于时效性窗口内的历史数据设计了一种事件触发调度。此外，考虑到能量消耗与通信距离之间的关系，提出了一种具有节能功能的拓扑变换调度。通过结合上述两种调度方式，提出了一种具有双事件驱动（或事件触发）策略的节能分布式一致性卡尔曼滤波器。利用第二李雅普诺夫稳定性理论给出了滤波器稳定性的充分条件。最后，通过仿真验证了所提出滤波器的有效性。
