远程物联网源监控与延迟反馈
Remote IoT Source Monitoring with Delayed Feedback
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中文总结 AI 辅助
本文研究物联网远程源监控中延迟反馈下的阈值报告策略，通过马尔可夫更新过程精确分析均方误差，发现主动传输在严格速率约束下显著提升监控性能。
中文摘要 AI 辅助
远程源监控是物联网（IoT）应用的关键用例，需要高效的通信协议以确保数据及时传输。在本文中，我们考虑一个实际启发的场景：物联网设备通过相关且有损的信道向网关报告传感器读数，仅在延迟后接收传输结果的反馈。针对这一设置，我们研究了用于监控马尔可夫过程的基于阈值的实际报告策略，并评估了两种方法：一种是被动策略，节点在更新后等待反馈；另一种是主动策略，预先传输第二次更新。利用马尔可夫更新过程，我们提供了以均方误差（MSE）为指标的精确性能分析。我们的研究刻画了估计误差与通信速率之间的基本权衡，揭示了即使在严格的物联网速率约束下，主动传输也能显著改善均方误差。
英文摘要
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.
发表机构
- Institute of Communications and Navigation, German Aerospace Center (DLR)（德国航空航天中心通信与导航研究所）
机构由 AI 辅助整理，请以论文原文为准。
