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Age and Stability Trade-offs in Remote Monitoring Systems
[Submitted on 14 Jun 2026] · 2026-06-16 · via cs updates on arXiv.org

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Abstract:Timely information is important in a wide variety of Internet of Things (IoT) services in which a shared server must manage two competing tasks: (i) processing a queue of jobs, and (ii) generating status updates to a remote monitor. This creates a fundamental trade-off between queue stability and data freshness. In this work, we model this scheduling decision as a Markov Decision Process (MDP) with the objective of minimizing a weighted sum of the average Age of Information (AoI) and the average queue length. We show that the optimal scheduling strategy is a queue-dependent age threshold which is monotonic. The shape of the switching curve differs according to different priority regimes. Finally, we compare the optimal MDP policy against heuristic policies.

Submission history

From: Nitya Sathyavageeswaran [view email]
[v1] Sun, 14 Jun 2026 11:09:20 UTC (144 KB)