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Energy Harvesting for the Internet-of-Things: Measurements and Probability Models

Smart, G; Atkinson, J; Mitchell, J; Rodrigues, M; Andreopoulos, I; (2016) Energy Harvesting for the Internet-of-Things: Measurements and Probability Models. In: Proceedings of the 23rd IEEE International Conference on Telecommunications (ICT 2016). IEEE: Thessaloniki, Greece. Green open access

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Abstract

The success of future Internet-of-Things (IoT) based application deployments depends on the ability of wireless sensor platforms to sustain uninterrupted operation based on environmental energy harvesting. In this paper, we deploy a multitransducer platform for photovoltaic and piezoelectric energy harvesting and collect raw data about the harvested power in commonly-encountered outdoor and indoor scenarios. We couple the generated power profiles with probability mixture models and make our data and processing code freely available to the research community for wireless sensors and IoT-oriented applications. Our aim is to provide data-driven probability models that characterize the energy production process, which will substantially facilitate the coupling of energy harvesting statistics with energy consumption models for processing and transceiver designs within upcoming IoT deployments.

Type: Proceedings paper
Title: Energy Harvesting for the Internet-of-Things: Measurements and Probability Models
Event: 23rd IEEE International Conference on Telecommunications (ICT 2016)
Location: Thessaloniki, Greece
Dates: 16 May 2016 - 18 May 2016
ISBN-13: 978-1-5090-1990-8
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/ICT.2016.7500416
Publisher version: http://dx.doi.org/10.1109/ICT.2016.7500416
Language: English
Additional information: Copyright © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Keywords: energy harvesting, internet of things
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/1478278
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