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Movers and shakers: kinetic energy harvesting for the internet of things

Published: 16 June 2014 Publication History

Abstract

Numerous energy harvesting wireless devices that will serve as building blocks for the Internet of Things (IoT) are currently under development. However, there is still only limited understanding of the properties of various energy sources and their impact on energy harvesting adaptive algorithms. Hence, we focus on characterizing the kinetic (motion) energy that can be harvested by a wireless node with an IoT form factor and on developing energy allocation algorithms for such nodes. In this paper, we describe methods for estimating harvested energy from acceleration traces. To characterize the energy availability associated with specific human activities (e.g., relaxing, walking, cycling), we analyze a motion dataset with over 40 participants. Based on acceleration measurements that we collected for over 200 hours, we study energy generation processes associated with day-long human routines. We also briefly summarize our experiments with moving objects. We develop energy allocation algorithms that take into account practical IoT node design considerations, and evaluate the algorithms using the collected measurements. Our observations provide insights into the design of motion energy harvesters, IoT nodes, and energy harvesting adaptive algorithms.

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        cover image ACM Conferences
        SIGMETRICS '14: The 2014 ACM international conference on Measurement and modeling of computer systems
        June 2014
        614 pages
        ISBN:9781450327893
        DOI:10.1145/2591971
        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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        Published: 16 June 2014

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        Author Tags

        1. algorithms
        2. energy harvesting
        3. internet of things
        4. low-power networking
        5. measurements
        6. motion energy

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        SIGMETRICS '14 Paper Acceptance Rate 40 of 237 submissions, 17%;
        Overall Acceptance Rate 459 of 2,691 submissions, 17%

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        • (2021)ReplayCache: Enabling Volatile Cachesfor Energy Harvesting SystemsMICRO-54: 54th Annual IEEE/ACM International Symposium on Microarchitecture10.1145/3466752.3480102(170-182)Online publication date: 18-Oct-2021
        • (2021)ViPSN: A Vibration-Powered IoT PlatformIEEE Internet of Things Journal10.1109/JIOT.2020.30169938:3(1728-1739)Online publication date: 1-Feb-2021
        • (2021)A Review of Hybrid Piezoelectric-Photovoltaic System for Lighting a Pedestrian WalkwayAdvances in Civil Engineering Materials10.1007/978-981-33-6560-5_33(335-366)Online publication date: 30-Apr-2021
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