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

Xenofon Fafoutis; Atis Elsts; Antonis Vafeas; George Oikonomou; Robert Piechocki

doi:10.1145/3277883.3277892

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

Xenofon Fafoutis, Atis Elsts, Antonis Vafeas, George Oikonomou, Robert Piechocki

University of Bristol

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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 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.

Original language	English
Title of host publication	RealWSN 2018 - Proceedings of the 7th International Workshop on Real-World Embedded Wireless Systems and Networks, Part of SenSys 2018
Editors	Gowri Sankar Ramachandran, Bhaskar Krishnamachari
Number of pages	6
Publisher	Association for Computing Machinery
Publication date	2019
Pages	7-12
ISBN (Electronic)	9781450360487
DOIs	https://doi.org/10.1145/3277883.3277892
Publication status	Published - 2019
Event	7th International Workshop on Real-World Embedded Wireless Systems and Networks - Shenzhen, China Duration: 4 Nov 2018 → 4 Nov 2018 Conference number: 7

Workshop

Workshop	7th International Workshop on Real-World Embedded Wireless Systems and Networks
Number	7
Country/Territory	China
City	Shenzhen
Period	04/11/2018 → 04/11/2018
Sponsor	Association for Computing Machinery

Keywords

Battery-Powered Devices
Internet of Things
Sensor Deployments

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10.1145/3277883.3277892

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Fafoutis, X., Elsts, A., Vafeas, A., Oikonomou, G., & Piechocki, R. (2019). On predicting the battery lifetime of IoT devices: Experiences from the sphere deployments. In G. S. Ramachandran, & B. Krishnamachari (Eds.), RealWSN 2018 - Proceedings of the 7th International Workshop on Real-World Embedded Wireless Systems and Networks, Part of SenSys 2018 (pp. 7-12). Association for Computing Machinery. https://doi.org/10.1145/3277883.3277892

Fafoutis, Xenofon ; Elsts, Atis ; Vafeas, Antonis et al. / On predicting the battery lifetime of IoT devices: Experiences from the sphere deployments. RealWSN 2018 - Proceedings of the 7th International Workshop on Real-World Embedded Wireless Systems and Networks, Part of SenSys 2018. editor / Gowri Sankar Ramachandran ; Bhaskar Krishnamachari. Association for Computing Machinery, 2019. pp. 7-12

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title = "On predicting the battery lifetime of IoT devices: Experiences from the sphere deployments",

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 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.",

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Fafoutis, X, Elsts, A, Vafeas, A, Oikonomou, G & Piechocki, R 2019, On predicting the battery lifetime of IoT devices: Experiences from the sphere deployments. in GS Ramachandran & B Krishnamachari (eds), RealWSN 2018 - Proceedings of the 7th International Workshop on Real-World Embedded Wireless Systems and Networks, Part of SenSys 2018. Association for Computing Machinery, pp. 7-12, 7th International Workshop on Real-World Embedded Wireless Systems and Networks, Shenzhen, China, 04/11/2018. https://doi.org/10.1145/3277883.3277892

On predicting the battery lifetime of IoT devices: Experiences from the sphere deployments. / Fafoutis, Xenofon; Elsts, Atis; Vafeas, Antonis et al.
RealWSN 2018 - Proceedings of the 7th International Workshop on Real-World Embedded Wireless Systems and Networks, Part of SenSys 2018. ed. / Gowri Sankar Ramachandran; Bhaskar Krishnamachari. Association for Computing Machinery, 2019. p. 7-12.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Fafoutis X, Elsts A, Vafeas A, Oikonomou G, Piechocki R. On predicting the battery lifetime of IoT devices: Experiences from the sphere deployments. In Ramachandran GS, Krishnamachari B, editors, RealWSN 2018 - Proceedings of the 7th International Workshop on Real-World Embedded Wireless Systems and Networks, Part of SenSys 2018. Association for Computing Machinery. 2019. p. 7-12 doi: 10.1145/3277883.3277892

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

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Keywords

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