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Publication - Dr Atis Elsts

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

    Citation

    Fafoutis, X, Elsts, A, Vafeas, A, Oikonomou, G & Piechocki, R, 2018, ‘On Predicting the Battery Lifetime of IoT Devices: Experiences from the SPHERE Deployments’. in: Proceedings of the 7th International Workshop on Real-World Embedded Wireless Systems and Networks . Association for Computing Machinery (ACM), pp. 7-12

    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.

    Full details in the University publications repository