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arXiv · 2606.15746

Age and Stability Trade-offs in Remote Monitoring Systems

Nitya Sathyavageeswaran·Anand D. Sarwate·Roy D. Yates·Narayan Mandayam
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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.

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Nitya Sathyavageeswaran, Anand D. Sarwate, Roy D. Yates, Narayan Mandayam. 2026-06-14. Age and Stability Trade-offs in Remote Monitoring Systems. https://arxiv.org/abs/2606.15746

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