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On-demand energy replenishment for sensor networks via wireless energy transfer

Xu, Wenzheng; Liang, Weifa; Ren, Xiaojiang (Richard); Lin, Xiaola

Description

In this paper, we study the use of a wireless charging vehicle (WCV) to replenish energy to sensors in a wireless sensor network so that none of the sensors will run out of its energy, where sensor batteries can be recharged. Specifically, we first propose a flexible on-demand sensor energy charging paradigm that decouples sensor energy replenishment and data collection into separate activities. We then formulate an optimization problem of wireless charging with an aim to maximize the ratio of...[Show more]

dc.contributor.authorXu, Wenzheng
dc.contributor.authorLiang, Weifa
dc.contributor.authorRen, Xiaojiang (Richard)
dc.contributor.authorLin, Xiaola
dc.coverage.spatialWashington, DC, USA
dc.date.accessioned2015-12-10T22:53:21Z
dc.date.created2-5 September 2014
dc.identifier.isbn9781479949120
dc.identifier.urihttp://hdl.handle.net/1885/59311
dc.description.abstractIn this paper, we study the use of a wireless charging vehicle (WCV) to replenish energy to sensors in a wireless sensor network so that none of the sensors will run out of its energy, where sensor batteries can be recharged. Specifically, we first propose a flexible on-demand sensor energy charging paradigm that decouples sensor energy replenishment and data collection into separate activities. We then formulate an optimization problem of wireless charging with an aim to maximize the ratio of the amount of energy consumed for charging sensors to the amount of energy consumed on traveling of the WCV as the WCV consumes its energy on both traveling and sensor charging. We also devise a novel algorithm for scheduling the tours of the WCV by jointly considering the residual lifetimes of sensors and the charging ratio of charging tours. We finally evaluate the performance of the proposed algorithm by conducting simulation. Experimental results show that the proposed algorithm is promising, and can improve the energy charging ratio of the WCV significantly.
dc.publisherIEEE
dc.relation.ispartofseries2014 IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)
dc.sourceProceedings of 2014 IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)
dc.titleOn-demand energy replenishment for sensor networks via wireless energy transfer
dc.typeConference paper
local.description.notesImported from ARIES
local.description.refereedYes
dc.date.issued2014
local.identifier.absfor080200 - COMPUTATION THEORY AND MATHEMATICS
local.identifier.ariespublicationu4056230xPUB484
local.type.statusPublished Version
local.contributor.affiliationXu, Wenzheng, College of Engineering and Computer Science, ANU
local.contributor.affiliationLiang, Weifa, College of Engineering and Computer Science, ANU
local.contributor.affiliationRen, Xiaojiang (Richard), College of Engineering and Computer Science, ANU
local.contributor.affiliationLin, Xiaola, Sun Yat-Sen University
local.description.embargo2037-12-31
local.identifier.doi10.1109/PIMRC.2014.7136363
local.identifier.absseo970108 - Expanding Knowledge in the Information and Computing Sciences
dc.date.updated2015-12-10T07:33:01Z
local.identifier.scopusID2-s2.0-84944318821
CollectionsANU Research Publications

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