Multi-Node Wireless Energy Charging in Sensor Networks

Wireless energy transfer based on magnetic resonant coupling is a promising technology to replenish energy to a wireless sensor network (WSN). However, charging sensor nodes one at a time poses a serious scalability problem. Recent advances in magnetic resonant coupling show that multiple nodes can...

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Published inIEEE/ACM transactions on networking Vol. 23; no. 2; pp. 437 - 450
Main Authors Liguang Xie, Yi Shi, Hou, Y. Thomas, Wenjing Lou, Sherali, Hanif D., Midkiff, Scott F.
Format Journal Article
LanguageEnglish
Published IEEE 01.04.2015
Subjects
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ISSN1063-6692
1558-2566
DOI10.1109/TNET.2014.2303979

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Abstract Wireless energy transfer based on magnetic resonant coupling is a promising technology to replenish energy to a wireless sensor network (WSN). However, charging sensor nodes one at a time poses a serious scalability problem. Recent advances in magnetic resonant coupling show that multiple nodes can be charged at the same time. In this paper, we exploit this multi-node wireless energy transfer technology and investigate whether it is a scalable technology to address energy issues in a WSN. We consider a wireless charging vehicle (WCV) periodically traveling inside a WSN and charging sensor nodes wirelessly. Based on charging range of the WCV, we propose a cellular structure that partitions the two-dimensional plane into adjacent hexagonal cells. We pursue a formal optimization framework by jointly optimizing traveling path, flow routing, and charging time. By employing discretization and a novel Reformulation-Linearization Technique (RLT), we develop a provably near-optimal solution for any desired level of accuracy. Through numerical results, we demonstrate that our solution can indeed address the charging scalability problem in a WSN.
AbstractList Wireless energy transfer based on magnetic resonant coupling is a promising technology to replenish energy to a wireless sensor network (WSN). However, charging sensor nodes one at a time poses a serious scalability problem. Recent advances in magnetic resonant coupling show that multiple nodes can be charged at the same time. In this paper, we exploit this multi-node wireless energy transfer technology and investigate whether it is a scalable technology to address energy issues in a WSN. We consider a wireless charging vehicle (WCV) periodically traveling inside a WSN and charging sensor nodes wirelessly. Based on charging range of the WCV, we propose a cellular structure that partitions the two-dimensional plane into adjacent hexagonal cells. We pursue a formal optimization framework by jointly optimizing traveling path, flow routing, and charging time. By employing discretization and a novel Reformulation-Linearization Technique (RLT), we develop a provably near-optimal solution for any desired level of accuracy. Through numerical results, we demonstrate that our solution can indeed address the charging scalability problem in a WSN.
Author Liguang Xie
Sherali, Hanif D.
Midkiff, Scott F.
Yi Shi
Hou, Y. Thomas
Wenjing Lou
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  fullname: Liguang Xie
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  fullname: Yi Shi
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  surname: Hou
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  surname: Wenjing Lou
  fullname: Wenjing Lou
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  organization: Virginia Tech, Blacksburg, VA, USA
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  givenname: Hanif D.
  surname: Sherali
  fullname: Sherali, Hanif D.
  email: hanifs@vt.edu
  organization: Virginia Tech, Blacksburg, VA, USA
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  givenname: Scott F.
  surname: Midkiff
  fullname: Midkiff, Scott F.
  email: midkiff@vt.edu
  organization: Virginia Tech, Blacksburg, VA, USA
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Snippet Wireless energy transfer based on magnetic resonant coupling is a promising technology to replenish energy to a wireless sensor network (WSN). However,...
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SubjectTerms Coils
Couplings
Energy consumption
Energy exchange
Magnetic resonance
Optimization
scalability
Wireless communication
wireless energy transfer
wireless sensor network
Wireless sensor networks
Title Multi-Node Wireless Energy Charging in Sensor Networks
URI https://ieeexplore.ieee.org/document/6747384
Volume 23
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