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A Platform for Experiments with Energy Storage Devices for Low-power Wireless Networks

Published: 01 October 2018 Publication History

Abstract

We present a hardware platform for performing experimental studies of energy storage devices for low power wireless networks. It is based on a low-cost custom card that can apply fine-grain synthetic loads ? both charge and discharge ? to a set of batteries or capacitors and measure their response in detail. Loads can be defined from a "live" trace of a running wireless device, from a recorded trace, or programmatically via a script. This approach makes it practical to run well controlled, large scale, long running experiments and to obtain high precision and accuracy. We describe two proof-of-concept experiments using rechargeable Li coin cells and capacitors to demonstrate the capabilities of our platform.

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Cited By

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  • (2022)Characterizing Energy Sources in Outdoor Wireless Sensor Networks2022 18th International Conference on Mobility, Sensing and Networking (MSN)10.1109/MSN57253.2022.00028(92-96)Online publication date: Dec-2022
  • (2021)Analytical Program Power Characterization for Battery Depletion-time EstimationACM Transactions on Embedded Computing Systems10.1145/342151120:2(1-9)Online publication date: 4-Jan-2021
  • (2021)Investigation & Mitigation of the Energy Efficiency Impact of Node Resets in RPLAd Hoc Networks10.1016/j.adhoc.2021.102417114:COnline publication date: 1-Apr-2021
  • Show More Cited By

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  1. A Platform for Experiments with Energy Storage Devices for Low-power Wireless Networks

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      cover image ACM Conferences
      WiNTECH '18: Proceedings of the 12th International Workshop on Wireless Network Testbeds, Experimental Evaluation & Characterization
      October 2018
      106 pages
      ISBN:9781450359306
      DOI:10.1145/3267204
      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 ACM 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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      Publication History

      Published: 01 October 2018

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      Author Tags

      1. battery lifetime
      2. battery modelling
      3. energy harvesting
      4. energy storage
      5. energy supply
      6. experiment
      7. internet of things
      8. lifetime estimation
      9. low-power wireless networks
      10. modelling
      11. platform
      12. real-world experiments
      13. simulation
      14. state of charge
      15. state of charge estimation
      16. super capacitors
      17. testbed
      18. wireless sensor networks

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      WiNTECH '18 Paper Acceptance Rate 10 of 16 submissions, 63%;
      Overall Acceptance Rate 63 of 100 submissions, 63%

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      Cited By

      View all
      • (2022)Characterizing Energy Sources in Outdoor Wireless Sensor Networks2022 18th International Conference on Mobility, Sensing and Networking (MSN)10.1109/MSN57253.2022.00028(92-96)Online publication date: Dec-2022
      • (2021)Analytical Program Power Characterization for Battery Depletion-time EstimationACM Transactions on Embedded Computing Systems10.1145/342151120:2(1-9)Online publication date: 4-Jan-2021
      • (2021)Investigation & Mitigation of the Energy Efficiency Impact of Node Resets in RPLAd Hoc Networks10.1016/j.adhoc.2021.102417114:COnline publication date: 1-Apr-2021
      • (2018)DemoProceedings of the 12th International Workshop on Wireless Network Testbeds, Experimental Evaluation & Characterization10.1145/3267204.3268069(77-78)Online publication date: 1-Oct-2018

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