Remote IoT Source Monitoring with Delayed Feedback

2026-09-20

AI Summary

本文研究了具有延迟反馈的远程IoT源监控问题，通过比较反应式与主动式传输策略，并利用马尔可夫更新过程分析，以降低通信率约束下的均方误差。

Abstract

Remote source monitoring is a key use case for Internet of things (IoT) applications, calling on efficient communications protocols to ensure timely data delivery. In this paper, we consider a practically inspired scenario in which an IoT device reports sensor readings to a gateway over a correlated, lossy channel, receiving feedback on the transmission outcome only after some delay. For this setting, we investigate practical threshold-based reporting strategies for monitoring a Markov process, and evaluate two approaches: a reactive strategy where the node awaits feedback after an update, and a proactive strategy that preemptively transmits a second update. Leveraging Markov renewal processes, we provide an exact performance analysis in terms of the mean squared error (MSE). Our study characterizes the fundamental trade-off between estimation error and communication rate, revealing that proactive transmissions significantly improve MSE even under strict IoT rate constraints.

Problem

• Remote IoT Source Monitoring
• Delayed Feedback
• Markov Process
• Mean Squared Error
• Communication Rate

Innovation

• threshold-based reporting
• delayed feedback
• Markov renewal processes
• mean squared error (MSE)
• proactive transmission