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An Efficient Double-Sourced Energy Transfer Scheme for Mobility-Constrained IoT Applications Chao WU Yuan'an LIU Fan WU Suyan LIU Publication IEICE TRANSACTIONS on Communications Vol.E101-B No.10 pp.2213-2221 Publication Date: 2018/10/01 Publicized: 2018/04/11 Online ISSN: 1745-1345 DOI: 10.1587/transcom.2017EBP3463 Type of Manuscript: PAPER Category: Energy in Electronics Communications Keyword: Internet of Things, energy transfer, genetic algorithm, graph theory, Full Text: PDF(3.7MB)>>
Summary: The energy efficiency of Internet of Things (IoT) could be improved by RF energy transfer technologies.Aiming at IoT applications with a mobility-constrained mobile sink, a double-sourced energy transfer (D-ET) scheme is proposed. Based on the hierarchical routing information of network nodes, the Simultaneous Wireless Information and Power Transfer (SWIPT) method helps to improve the global data gathering performance. A genetic algorithm and graph theory are combined to analyze the node energy consumption distribution. Then dedicated charger nodes are deployed on the basis of the genetic algorithm's output. Experiments are conducted using Network Simulator-3 (NS-3) to evaluate the performance of the D-ET scheme. The simulation results show D-ET outperforms other schemes in terms of network lifetime and data gathering performance. | |||||
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