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

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

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-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 languageEnglish
Title of host publicationRealWSN 2018 - Proceedings of the 7th International Workshop on Real-World Embedded Wireless Systems and Networks, Part of SenSys 2018
EditorsGowri Sankar Ramachandran, Bhaskar Krishnamachari
Number of pages6
PublisherAssociation for Computing Machinery
Publication date2019
Pages7-12
ISBN (Electronic)9781450360487
DOIs
Publication statusPublished - 2019
Event7th International Workshop on Real-World Embedded Wireless Systems and Networks - Shenzhen, China
Duration: 4 Nov 20184 Nov 2018

Workshop

Workshop7th International Workshop on Real-World Embedded Wireless Systems and Networks
CountryChina
CityShenzhen
Period04/11/201804/11/2018
SponsorAssociation for Computing Machinery

Keywords

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

Cite this

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 ; Oikonomou, George ; Piechocki, Robert. / 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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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; Oikonomou, George; Piechocki, Robert.

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 proceedingArticle in proceedingsResearchpeer-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 https://doi.org/10.1145/3277883.3277892