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Conference paper

On predicting the battery lifetime of IoT devices: Experiences from the sphere deployments : Experiences from the SPHERE Deployments

In Realwsn 2018 - Proceedings of the 7th International Workshop on Real-world Embedded Wireless Systems and Networks, Part of Sensys 2018 — 2019, pp. 7-12
From

Department of Applied Mathematics and Computer Science, Technical University of Denmark1

Embedded Systems Engineering, Department of Applied Mathematics and Computer Science, Technical University of Denmark2

University of Bristol3

One of the challenges of deploying IoT battery-powered sensing systems is managing the maintenance of batteries. To that end, practitioners often employ prediction techniques to approximate the battery lifetime of the deployed devices. Following a series of long-term residential deployments in the wild, this paper contrasts real-world battery lifetimes and discharge patterns against battery lifetime predictions that were conducted during the development of the deployed system.

The comparison highlights the challenges of making battery lifetime predictions, in an attempt to motivate further research on the matter. Moreover, this paper summarises key lessons learned that could potentially accelerate future IoT deployments of similar scale and nature.

Language: English
Publisher: Association for Computing Machinery
Year: 2019
Pages: 7-12
Proceedings: 7th International Workshop on Real-World Embedded Wireless Systems and Networks
ISBN: 1450360483 and 9781450360487
Types: Conference paper
DOI: 10.1145/3277883.3277892
ORCIDs: Fafoutis, Xenofon

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