research-article

MORE: Multi-node Mobile Charging Scheduling for Deadline Constraints

Authors:

Xin HeAuthors Info & Claims

ACM Transactions on Sensor Networks (TOSN), Volume 17, Issue 1

Article No.: 7, Pages 1 - 21

https://doi.org/10.1145/3410454

Published: 05 November 2020 Publication History

Abstract

Due to the merit without requiring charging cable, wireless power transfer technology has drawn rising attention as a new method to replenish energy for Wireless Rechargeable Sensor Networks. In this article, we study the mobile charger scheduling problem for multi-node recharging with deadline constraints. Our target is to maximize the overall effective charging utility and minimize the traveling time for moving as well. Instead of charging only once over a scheduling cycle, we incorporate the multi-node charging strategy with deadline constraints, where charging spots and tour are jointly optimized. Specifically, we formulate the effective charging utility maximization problem as a monotone submodular function optimization subject to a partition matroid constraint, and we propose a simple but effective ½-approximation greedy algorithm. After that, we derive the result of global scheduling and present the grid-based skip-substitute operation to further save the traveling time, which can increase the charging utility. Finally, we conduct the evaluation for the performance of our scheduling scheme. The simulation and field experiment results show that our algorithm excels in terms of effective charging utility.

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Cited By

Liu TMa YRen MYang JPeng JYang JWu D(2024)Concurrent Charging With Wave Interference for Multiple ChargersIEEE/ACM Transactions on Networking10.1109/TNET.2024.336132132:3(2525-2538)Online publication date: Jul-2024
https://doi.org/10.1109/TNET.2024.3361321
Xue HChen HDai QLin KLi JLi Z(2024)CSCT: Charging Scheduling for Maximizing Coverage of Targets in WRSNsIEEE Transactions on Computational Social Systems10.1109/TCSS.2022.316978011:3(3049-3059)Online publication date: Jul-2024
https://doi.org/10.1109/TCSS.2022.3169780
You WRen MMa YWu DYang JLiu XLiu T(2023)Practical Charger Placement Scheme for Wireless Rechargeable Sensor Networks with ObstaclesACM Transactions on Sensor Networks10.1145/361443120:1(1-23)Online publication date: 20-Oct-2023
https://dl.acm.org/doi/10.1145/3614431
Show More Cited By

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MORE: Multi-node Mobile Charging Scheduling for Deadline Constraints
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Published In

cover image ACM Transactions on Sensor Networks

ACM Transactions on Sensor Networks Volume 17, Issue 1

February 2021

256 pages

ISSN:1550-4859

EISSN:1550-4867

DOI:10.1145/3426429

Editor:
Yunhao Liu
Tsinghua University, China

Issue’s Table of Contents

Copyright © 2020 ACM.

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ACM Journals for the Design of Smart and Connected Systems

Publication History

Published: 05 November 2020

Accepted: 01 July 2020

Revised: 01 May 2020

Received: 01 December 2019

Published in TOSN Volume 17, Issue 1

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Natural Science Foundation of Jiangsu Province
National key research and development
NSFC
Key Research Program of Frontier Sciences
National Key R8D Program of China
National Natural Science Foundation of China
NSF
Fundamental Research Funds for the Central Universities

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Cited By

Liu TMa YRen MYang JPeng JYang JWu D(2024)Concurrent Charging With Wave Interference for Multiple ChargersIEEE/ACM Transactions on Networking10.1109/TNET.2024.336132132:3(2525-2538)Online publication date: Jul-2024
https://doi.org/10.1109/TNET.2024.3361321
Xue HChen HDai QLin KLi JLi Z(2024)CSCT: Charging Scheduling for Maximizing Coverage of Targets in WRSNsIEEE Transactions on Computational Social Systems10.1109/TCSS.2022.316978011:3(3049-3059)Online publication date: Jul-2024
https://doi.org/10.1109/TCSS.2022.3169780
You WRen MMa YWu DYang JLiu XLiu T(2023)Practical Charger Placement Scheme for Wireless Rechargeable Sensor Networks with ObstaclesACM Transactions on Sensor Networks10.1145/361443120:1(1-23)Online publication date: 20-Oct-2023
https://dl.acm.org/doi/10.1145/3614431
Jia RWu JWang XLu JLin FZheng ZLi M(2023)Energy Cost Minimization in Wireless Rechargeable Sensor NetworksIEEE/ACM Transactions on Networking10.1109/TNET.2023.324808831:5(2345-2360)Online publication date: Oct-2023
https://doi.org/10.1109/TNET.2023.3248088
Wu SDai HXu LLiu LXiao FXu J(2023)Comprehensive Cost Optimization for Charger Deployment in Multi-hop Wireless ChargingIEEE Transactions on Mobile Computing10.1109/TMC.2022.316211222:8(4563-4577)Online publication date: 1-Aug-2023
https://dl.acm.org/doi/10.1109/TMC.2022.3162112
Cai ZChen QShi TZhu TChen KLi Y(2023)Battery-Free Wireless Sensor Networks: A Comprehensive SurveyIEEE Internet of Things Journal10.1109/JIOT.2022.322238610:6(5543-5570)Online publication date: 15-Mar-2023
https://doi.org/10.1109/JIOT.2022.3222386
Kaswan AJana PDas S(2022)A Survey on Mobile Charging Techniques in Wireless Rechargeable Sensor NetworksIEEE Communications Surveys & Tutorials10.1109/COMST.2022.318938724:3(1750-1779)Online publication date: 1-Jul-2022
https://dl.acm.org/doi/10.1109/COMST.2022.3189387
Sawwan AWu J(2022)Energy-Efficient Minimum Mobile Charger Coverage for Wireless Sensor NetworksJournal of Computer Science and Technology10.1007/s11390-022-1993-037:4(869-887)Online publication date: 30-Jul-2022
https://doi.org/10.1007/s11390-022-1993-0
Sawwan AWu J(2021)Mobile Charger Coverage Problem for Specific Heterogeneous Wireless Sensor Networks2021 IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems (MASS)10.1109/MASS52906.2021.00017(62-70)Online publication date: Oct-2021
https://doi.org/10.1109/MASS52906.2021.00017
Zhong PXu AZhang SZhang YChen Y(2021)EMPC: Energy-Minimization Path Construction for data collection and wireless charging in WRSNPervasive and Mobile Computing10.1016/j.pmcj.2021.10140173(101401)Online publication date: Jul-2021
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