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Coordinated intelligent power management and the heterogeneous sensing coverage problem

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Author(s)
Tynan, Richard 
Muldoon, Conor 
O'Hare, G. M. P. (Greg M. P.) 
O'Grady, Michael J. 
Uri
http://hdl.handle.net/10197/2583
Date Issued
March 2011
Date Available
24T16:16:22Z November 2010
Abstract
One of the most important factors to be considered when developing an application for a Wireless Sensor Network (WSN) is its power consumption. Intelligent Power Management (IPM) for a WSN is crucial in maximising the operational longevity. An established regime for achieving this is through the opportunistic hibernation of redundant nodes. Redundancy, however, has various definitions within the field of WSNs and indeed multiple protocols, each operating using a different definition, coexist on the same node. In this paper, we advocate the use of a MAS as an appropriate mechanism by which different stake-holders, each desiring to hibernate a node in order to conserve power, can collaborate. The problem of node hibernation for the heterogeneous sensing coverage areas is introduced and the manner by which it can be solved using ADOPT, an algorithm for distributed constraint optimisation, is described. We illustrate that the node hibernation strategy discussed here is more useful than the traditional stack-based approach and motivate our discussion using intelligent power management as an exemplar.
Sponsorship
Science Foundation Ireland
Irish Research Council for Science, Engineering and Technology
Type of Material
Journal Article
Publisher
Oxford University Press
Journal
The Computer Journal
Volume
54
Issue
3
Start Page
490
End Page
502
Copyright (Published Version)
The Author 2009
Keywords
  • Coverage

  • Connectivity

  • Hibernation

  • Intelligent power man...

  • Distributed constrain...

Subject – LCSH
Wireless sensor networks--Energy consumption
Multiagent systems
Constrained optimization
DOI
10.1093/comjnl/bxp109
Web versions
10.1093/comjnl/bxp109
Language
English
Status of Item
Peer reviewed
ISSN
1460-2067 (online)
0010-4620 (print)
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-sa/1.0/
Owning collection
Computer Science Research Collection
Scopus© citations
11
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Mar 24, 2023
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