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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
IEICE TRANSACTIONS on Communications
Publication Date: 2018/10/01
Online ISSN: 1745-1345
Type of Manuscript: PAPER
Category: Energy in Electronics Communications
Internet of Things, energy transfer, genetic algorithm, graph theory,
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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.