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  5. Coordinated intelligent power management and the heterogeneous sensing coverage problem
 
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Coordinated intelligent power management and the heterogeneous sensing coverage problem

Author(s)
Tynan, Richard  
Muldoon, Conor  
O'Hare, G. M. P. (Greg M. P.)  
O'Grady, Michael J.  
Uri
http://hdl.handle.net/10197/3194
Date Issued
2011-03
Date Available
2011-09-29T14:09:11Z
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 maximizing 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 an 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 optimization, 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 IPM as an exemplar.
Sponsorship
Science Foundation Ireland
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)
2009 The Author
Subjects

Coverage

Connectivity

Hibernation

Intelligent power man...

Distributed constrain...

Subject – LCSH
Wireless sensor networks--Energy consumption
Multiagent systems
DOI
10.1093/comjnl/bxp109
Web versions
http://dx.doi.org/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/
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bxp109v1.pdf

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357.72 KB

Format

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Checksum (MD5)

2411e6e2fe3b37251a46479744d5105d

Owning collection
Computer Science Research Collection
Mapped collections
CLARITY Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
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