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On Predicting the Battery Lifetime of IoT Devices: Experiences from the SPHERE Deployments

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationProceedings of the 7th International Workshop on Real-World Embedded Wireless Systems and Networks
Publisher or commissioning bodyAssociation for Computing Machinery (ACM)
Pages7-12
Number of pages6
ISBN (Electronic)978-1-4503-6048-7
DOIs
DateAccepted/In press - 10 Sep 2018
DatePublished (current) - 4 Nov 2018

Abstract

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 longterm 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.

    Research areas

  • Battery-Powered Devices, Internet of Things, Sensor Deployments

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  • Full-text PDF (accepted author manuscript)

    Rights statement: This is the author accepted manuscript (AAM). The final published version (version of record) is available online via ACM at https://dl.acm.org/citation.cfm?id=3277892 . Please refer to any applicable terms of use of the publisher.

    Accepted author manuscript, 4 MB, PDF document

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