Coordinated intelligent power management and the heterogeneous sensing coverage problem

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Title: Coordinated intelligent power management and the heterogeneous sensing coverage problem
Authors: Tynan, Richard
Muldoon, Conor
O'Hare, G. M. P. (Greg M. P.)
O'Grady, Michael J.
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Date: Mar-2011
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.
Funding Details: Science Foundation Ireland
Type of material: Journal Article
Publisher: Oxford University Press
Copyright (published version): 2010 The Author
Keywords: Coverage;Connectivity;Hibernation;Intelligent power management;Distributed constraint optimisation
Subject LCSH: Intelligent agents (Computer software)
Wireless sensor networks--Energy consumption
Constraints (Artificial intelligence)
Wireless sensor nodes
DOI: 10.1093/comjnl/bxp109
Language: en
Status of Item: Peer reviewed
Appears in Collections:CLARITY Research Collection
Computer Science Research Collection

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