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Energy Efficient Message Scheduling with Redundancy Control for Massive IoT Monitoring

Abstract

In current sensor-based monitoring solutions, each application involves a customized deployment and requires significant configuration efforts to adapt to changes in the sensor field. This becomes particularly problematic for massive deployments of battery-powered monitoring sensors. In this paper, we propose a generic solution for LPWAN sensors emissions scheduling, to ensure overall regular sensor data emissions over time (at a rate chosen by the user), while limiting management costs incurred by sensors' arrivals and departure. Our objectives include monitoring quality that we evaluate through a ``diversity'' metric encompassing that information value depletes with time, plus management cost quantified by the number of orders sent to sensors. Modeling arrivals and departures as random processes, we compute those performance metrics as functions of the overall data reception period selected, and evaluate them against alternative scheduling methods. We show that our solution is better suited for Massive IoT contexts.
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Dates and versions

hal-03632557 , version 1 (06-04-2022)
hal-03632557 , version 2 (20-04-2022)
hal-03632557 , version 3 (31-08-2022)
hal-03632557 , version 4 (10-10-2022)

Identifiers

  • HAL Id : hal-03632557 , version 4

Cite

Gwen Maudet, Mireille Batton-Hubert, Patrick Maillé, Laurent Toutain. Energy Efficient Message Scheduling with Redundancy Control for Massive IoT Monitoring. 2022. ⟨hal-03632557v4⟩
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