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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Veröffentlicht in:IEEE/ACM transactions on networking Jg. 23; H. 2; S. 437 - 450
Hauptverfasser: Liguang Xie, Yi Shi, Hou, Y. Thomas, Wenjing Lou, Sherali, Hanif D., Midkiff, Scott F.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: IEEE 01.04.2015
Schlagworte:
Coils
Couplings
Energy consumption
Energy exchange
Magnetic resonance
Optimization
scalability
Wireless communication
wireless energy transfer
wireless sensor network
Wireless sensor networks
ISSN:1063-6692, 1558-2566
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Zusammenfassung: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.
ISSN:1063-6692
1558-2566
DOI:10.1109/TNET.2014.2303979