A Lightweight Sensor Scheduler Based on AoI Function for Remote State Estimation Over Lossy Wireless Channels

• 成果类型: Article
• 署名作者: Chang, Taige; Cao, Xianghui; Zheng, Wei Xing
• 署名单位: Southeast University - China; Western Sydney University
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2023.3328244
• 发表日期: 2024
• 页码: 1697-1704
• 关键词: Optimal scheduling; estimation error; wireless sensor networks; Wireless communication; Channel estimation; indexes; Upper bound; Age of information; lightweight scheduler; remote state estimation; sensor scheduling; Whittle index

摘要

This article investigates the problem of sensor scheduling for remotely estimating the states of heterogeneous dynamical systems over resource-limited and lossy wireless channels. Considering the low time complexity and high versatility requirements of schedulers deployed on the transport layer, we propose a lightweight scheduler based on an Age of Information function built with the tight scalar upper bound of the remote estimation error. We show that the proposed scheduler is indexable and suboptimal. We derive an upper and a lower bound of the proposed scheduler and give stability conditions for estimation error. Numerical simulations demonstrate that, compared to existing policies, the proposed scheduler achieves estimation performance very close to the optimal at a much lower computation time.