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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/10197/2583
Date Issued
2011-03
Date Available
2010-11-24T16:16:22Z
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
Subjects

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/
File(s)
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compjourn_submit.pdf

Size

315.63 KB

Format

Adobe PDF

Checksum (MD5)

7cedf2c683e3b478b62f89fd234b605b

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/.
All other content is subject to copyright.

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