Optimal Sensor Grouping Transmission Strategy for Multiple Processes Over Packet-Dropping Channels
针对丢包信道上的多过程系统，提出一种最优传感器分组传输策略，在保证估计精度的同时减少信道使用，并通过改进Q学习算法求解。
This article focuses on designing an optimal sensor grouping transmission strategy for multiple processes over packet-dropping channels. A necessary and sufficient condition for the convergence of the estimation error is presented when employing the random access protocol (RAP) for collision-free transmission within each group, and a continuous grouping transmission strategy (CGTS) is proposed to reduce the strategy space without losing optimality. Then, based on the condition and the CGTS, the optimal grouping transmission strategy is obtained by proposing an improved Q-learning algorithm. Compared with the existing works, the proposed optimal strategy reduces channel usage while ensuring estimation accuracy. Finally, a numerical simulation is provided to validate the main results.