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.
Chao WU
Beijing Key Laboratory of Work Safety Intelligent Monitoring,BUPT
Yuan'an LIU
Beijing Key Laboratory of Work Safety Intelligent Monitoring,BUPT
Fan WU
Beijing Key Laboratory of Work Safety Intelligent Monitoring,BUPT
Suyan LIU
Beijing Key Laboratory of Work Safety Intelligent Monitoring,BUPT
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Chao WU, Yuan'an LIU, Fan WU, Suyan LIU, "An Efficient Double-Sourced Energy Transfer Scheme for Mobility-Constrained IoT Applications" in IEICE TRANSACTIONS on Communications,
vol. E101-B, no. 10, pp. 2213-2221, October 2018, doi: 10.1587/transcom.2017EBP3463.
Abstract: 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.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2017EBP3463/_p
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@ARTICLE{e101-b_10_2213,
author={Chao WU, Yuan'an LIU, Fan WU, Suyan LIU, },
journal={IEICE TRANSACTIONS on Communications},
title={An Efficient Double-Sourced Energy Transfer Scheme for Mobility-Constrained IoT Applications},
year={2018},
volume={E101-B},
number={10},
pages={2213-2221},
abstract={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.},
keywords={},
doi={10.1587/transcom.2017EBP3463},
ISSN={1745-1345},
month={October},}
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TY - JOUR
TI - An Efficient Double-Sourced Energy Transfer Scheme for Mobility-Constrained IoT Applications
T2 - IEICE TRANSACTIONS on Communications
SP - 2213
EP - 2221
AU - Chao WU
AU - Yuan'an LIU
AU - Fan WU
AU - Suyan LIU
PY - 2018
DO - 10.1587/transcom.2017EBP3463
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E101-B
IS - 10
JA - IEICE TRANSACTIONS on Communications
Y1 - October 2018
AB - 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.
ER -