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Spatio-Temporal Information Freshness for Remote Source Monitoring in IoT Systems

2025/06/05 by Andrea Munari, Munari, Andrea, Federico Chiariotti +5 · 1 citation
Computer Science · Engineering · #Age of Information Optimization #FOS: Computer and information sciences #Information Theory (cs.IT) #IoT Networks and Protocols #IoT and Edge/Fog Computing

paper · pdf · doi:10.48550/arxiv.2506.04804

openalex publication_date 2025/06/05 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

The widespread adoption of age of information (AoI) as a meaningful and analytically tractable information freshness metric has led to a wide body of work on the timing performance of Internet of things (IoT) systems. However, the spatial correlation inherent to environmental monitoring has been mostly neglected in the recent literature, due to the significant modeling complexity it introduces. In this work, we address this gap by presenting a model of spatio-temporal information freshness, considering the conditional entropy of the system state in a remote monitoring scenario, such as a low-orbit satellite collecting information from a wide geographical area. Our analytical results show that purely age-oriented schemes tend to select an overly broad communication range, leading to inaccurate estimates and energy inefficiency, both of which can be mitigated by adopting a spatio-temporal approach.

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