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An application adaptive energy model for wireless sensor nodes

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PE-WASUN '09: Proceedings of the 6th ACM symposium on Performance evaluation of wireless ad hoc, sensor, and ubiquitous networks

Pages 147 - 150

https://doi.org/10.1145/1641876.1641904

Published: 28 October 2009 Publication History

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Abstract

The energy efficient design of wireless sensor networks necessitates optimizations at both the system and individual node level. Node-level energy conservation and power aware decisions can lead to better overall performance and may complement any power saving techniques employed in the network infrastructure. A computationally efficient, polynomial shift algorithm that enables energy aware decisions under dynamic load conditions for wireless sensor nodes is presented. The corresponding energy model accurately approximates the energy decay characteristics for applications exhibiting different energy usage profiles. It adapts to the prevailing load conditions, and can be used by applications supporting self-learnt or over-the-air reconfiguration of nodes within the wireless sensor network. The model's computational complexity is such that it can be computed in runtime configurations on the Mica family of motes.

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Cited By

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Huggard MVaccaro AGoldrick C(2016)Evaluation of a radio signal as a time reference beacon for wireless sensor networks2016 International Conference on Computing, Networking and Communications (ICNC)10.1109/ICCNC.2016.7440703(1-5)Online publication date: Feb-2016
https://doi.org/10.1109/ICCNC.2016.7440703
Huggard MMc Goldrick C(2013)Unlocking the laboratory: autonomous wireless sensor authentication in practiceCampus-Wide Information Systems10.1108/CWIS-05-2013-001930:4(308-316)Online publication date: 23-Aug-2013
https://doi.org/10.1108/CWIS-05-2013-0019

Index Terms

An application adaptive energy model for wireless sensor nodes
1. Networks
  1. Network types
    1. Mobile networks
    2. Wireless access networks

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Published In

PE-WASUN '09: Proceedings of the 6th ACM symposium on Performance evaluation of wireless ad hoc, sensor, and ubiquitous networks

October 2009

176 pages

ISBN:9781605586182

DOI:10.1145/1641876

General Chair:
Stephan Olariu
Old Dominion University, USA
,
Program Chairs:
Azzedine Boukerche
University of Ottawa, Canada
,
Isabelle Guérin Lassous
University Lyon 1/LIP, France

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

New York, NY, United States

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Published: 28 October 2009

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SIGSIM

MSWiM '09: The 12th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems

October 28 - 29, 2009

Tenerife, Canary Islands, Spain

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Huggard MVaccaro AGoldrick C(2016)Evaluation of a radio signal as a time reference beacon for wireless sensor networks2016 International Conference on Computing, Networking and Communications (ICNC)10.1109/ICCNC.2016.7440703(1-5)Online publication date: Feb-2016
https://doi.org/10.1109/ICCNC.2016.7440703
Huggard MMc Goldrick C(2013)Unlocking the laboratory: autonomous wireless sensor authentication in practiceCampus-Wide Information Systems10.1108/CWIS-05-2013-001930:4(308-316)Online publication date: 23-Aug-2013
https://doi.org/10.1108/CWIS-05-2013-0019

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Energy efficient design of wireless sensor nodes

Analyzing lifetime of energy harvesting wireless multimedia sensor nodes in industrial environments

An energy efficient clustering method for wireless sensor networks

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Energy efficient design of wireless sensor nodes

Analyzing lifetime of energy harvesting wireless multimedia sensor nodes in industrial environments

An energy efficient clustering method for wireless sensor networks

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