In industrial sensors, connectivity is often not persistent but subject to duty cycling for energy or multitasking reasons. The presence of off-periods impacts the freshness of the data reported. We present an analytical investigation of the delivery time achieved by a sensor that alternates connection and disconnection at regular intervals of the same duration. Although information staleness can locally increase due to the lack of connectivity during disconnection intervals, we found that its long-Term behavior can be kept under control if these intervals are cyclic and of limited duration, which confirms the validity of freshness-based approaches for timely communication even in industrial scenarios without persistent links.

Cyclic Intermittent Connectivity of Industrial Sensors Impacting Information Freshness

Badia L.
2025

Abstract

In industrial sensors, connectivity is often not persistent but subject to duty cycling for energy or multitasking reasons. The presence of off-periods impacts the freshness of the data reported. We present an analytical investigation of the delivery time achieved by a sensor that alternates connection and disconnection at regular intervals of the same duration. Although information staleness can locally increase due to the lack of connectivity during disconnection intervals, we found that its long-Term behavior can be kept under control if these intervals are cyclic and of limited duration, which confirms the validity of freshness-based approaches for timely communication even in industrial scenarios without persistent links.
2025
2025 IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd4.0 and IoT 2025 - Proceedings
8th IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd4.0 and IoT 2025
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3562043
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