Coordinated intelligent power management and the heterogeneous sensing coverage problem
|Title:||Coordinated intelligent power management and the heterogeneous sensing coverage problem||Authors:||Tynan, Richard
O'Hare, G. M. P. (Greg M. P.)
O'Grady, Michael J.
|Permanent link:||http://hdl.handle.net/10197/2583||Date:||Mar-2011||Online since:||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.||Funding Details:||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 management; Distributed constraint optimisation||Subject LCSH:||Wireless sensor networks--Energy consumption
|DOI:||10.1093/comjnl/bxp109||Other versions:||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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