Article

Harvesting aware power management for sensor networks

Authors:

Aman Kansal,

Jason Hsu,

Mani Srivastava,

Vijay RaghunathanAuthors Info & Claims

DAC '06: Proceedings of the 43rd annual Design Automation Conference

Pages 651 - 656

https://doi.org/10.1145/1146909.1147075

Published: 24 July 2006 Publication History

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Abstract

Energy harvesting offers a promising alternative to solve the sustainability limitations arising from battery size constraints in sensor networks. Several considerations in using an environmental energy source are fundamentally different from using batteries. Rather than a limit on the total energy, harvesting transducers impose a limit on the instantaneous power available. Further, environmental energy availability is often highly variable and a deterministic metric such as residual battery capacity is not available to characterize the energy source. The different nodes in a sensor network may also have different energy harvesting opportunities. Since the same end-user performance may be achieved using different workload allocations at multiple nodes, it is important to adapt the workload allocation to the spatio-temporal energy availability profile in order to enable energy-neutral operation of the network. This paper describes power management techniques for such energy harvesting sensor networks. Platform design considerations as well as power scaling techniques at the node-level and network-level are described.

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Index Terms

Harvesting aware power management for sensor networks
1. Computer systems organization
  1. Architectures
    1. Distributed architectures
2. Software and its engineering
  1. Software organization and properties
    1. Software system structures
      1. Distributed systems organizing principles

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Published In

DAC '06: Proceedings of the 43rd annual Design Automation Conference

July 2006

1166 pages

ISBN:1595933816

DOI:10.1145/1146909

General Chair:
Ellen M. Sentovich
Cadence Berkeley Labs, Berkeley, CA

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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Association for Computing Machinery

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Published: 24 July 2006

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July 24 - 28, 2006

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Overall Acceptance Rate 1,770 of 5,499 submissions, 32%

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Rahamathunnisa UVivekanand CT CE SKiran VM R(2024)Energy-Efficient Communication Protocols for IoT Devices2024 Ninth International Conference on Science Technology Engineering and Mathematics (ICONSTEM)10.1109/ICONSTEM60960.2024.10568674(1-5)Online publication date: 4-Apr-2024
https://doi.org/10.1109/ICONSTEM60960.2024.10568674
Liri ERamakrishnan KKar KLyon GSharma P(2023)Invited paper: An Efficient Energy Management Solution for Renewable Energy Based IoT DevicesProceedings of the 24th International Conference on Distributed Computing and Networking10.1145/3571306.3571387(20-27)Online publication date: 4-Jan-2023
https://dl.acm.org/doi/10.1145/3571306.3571387
Shintani KRizk HYamaguchi H(2023)Photovoltaic Cells for Energy Harvesting and Step Counting2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)10.1109/PerComWorkshops56833.2023.10150258(316-318)Online publication date: 13-Mar-2023
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Energy-Harvesting Wireless Sensor Networks (EH-WSNs): A Review

Power management in energy harvesting sensor networks

Design and power management of energy harvesting embedded systems

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