Distributed wireless power transfer in sensor networks with multiple Mobile Chargers |
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| Affiliation: | 1. School of Software, Dalian University of Technology, Road No. 8, Development Zone, Dalian 116620, China;2. Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, Dalian 116621, China;3. Computer and Information Science, Fordham University, 441 East Fordham Road, Bronx, NY 10458, USA;4. Department of Computer Science and Information Engineering, Chung Hua University, Taiwan;1. Department of Information & Communication Engineering, Hohai University, Changzhou 213022, China;2. Changzhou Key Laboratory of Sensor Networks and Environmental Sensing, Changzhou 213022, China;2. Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, Dalian, China;3. University of North Carolina at Greensboro, Greensboro, NC, United States;1. School of Software Technology, Dalian University of Technology, Road No. 8, Development Zone, Dalian 116620, China;2. Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, Dalian, 116621, China;3. Department of Computer Science and Information Engineering, Chung Hua University, Taiwan, China |
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| Abstract: | We investigate the problem of efficient wireless power transfer in wireless sensor networks. In our approach, special mobile entities (called the Mobile Chargers) traverse the network and wirelessly replenish the energy of sensor nodes. In contrast to most current approaches, we envision methods that are distributed and use limited network information. We propose four new protocols for efficient charging, addressing key issues which we identify, most notably (i) what are good coordination procedures for the Mobile Chargers and (ii) what are good trajectories for the Mobile Chargers. Two of our protocols (DC, DCLK) perform distributed, limited network knowledge coordination and charging, while two others (CC, CCGK) perform centralized, global network knowledge coordination and charging. As detailed simulations demonstrate, one of our distributed protocols outperforms a known state of the art method, while its performance gets quite close to the performance of the powerful centralized global knowledge method. |
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| Keywords: | Sensor networks Energy efficiency Mobility Distributed algorithms Wireless power transfer Wireless charging |
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