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Cited by 79Innovative Energy Harvesting TechnologiesEnergy Harvesting in Wireless NetworksAdvanced Sensor and Energy Harvesting Materials

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

Gorlatova, Maria, Sarik, John, Grebla, Guy, Cong, Mina, Kymissis, Ioannis, Zussman, Gil·2014·The 2014 ACM international conference on Measurement and modeling of computer systems
DOI 10.1145/2591971.2591986
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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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Cited by

Sorted by citations

  • A review of walking energy harvesting using piezoelectric materials

    Nia, E. M., Zawawi, N. A. W. A., & Singh, B. S. M. (2017) · IOP Conference Series: Materials Science and Engineering · doi:10.1088/1757-899x/291/1/012026 · Cited by 97

    “Principles of kinetic energy harvesting There are different types of vibration energy to harvest, that have been studied by several scholars, such as human motion [7], ocean wave [8] or harvesting strain from beam elements in critical structures [9].”
    BackgroundMethodInfluential

See all 79

Metadata

Authors
Gorlatova, M., Sarik, J., Grebla, G., Cong, M., Kymissis, I., & Zussman, G.
Affiliations
Columbia University (US)
ORCID
Venue
The 2014 ACM international conference on Measurement and modeling of computer systems
Publisher
ACM
Published
2014-06-16
Pages
407-419
DOI
10.1145/2591971.2591986
OpenAlex
W2166438965
Cited by
79
References
2
Citations by year
2026: 1 · 2025: 2 · 2021: 8 · 2020: 5 · 2019: 8 · 2018: 12 · 2017: 12 · 2016: 14 · 2015: 12 · 2014: 4
FWCI
31.94
Type
conference paper
Language
en
Open access
closed
Licence
www.acm.org/publications/policies/copyright_policy#Background (vor)
Locations
ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS) (publishedVersion)
Funders
  • Division of Computing and Communication Foundations (CCF-09-64497, CNS-10-54856)
  • Division of Computer and Network Systems (CCF-09-64497, CNS-10-54856)
Topics
  • Physical Sciences › Engineering › Mechanical Engineering › Innovative Energy Harvesting Technologies
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Energy Harvesting in Wireless Networks
  • Physical Sciences › Engineering › Biomedical Engineering › Advanced Sensor and Energy Harvesting Materials
Keywords
kinetic energy harvesting, Internet of Things, wearable sensors

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