Periodic Charging for Wireless Sensor Networks With Multiple Portable Chargers

Finite battery capacity limits the network lifetime of wireless sensor networks, and thus severely impedes the deployment of large scale sensor networks. To prolong the lifetime, researchers utilize mobile chargers to recharge sensors with external power sources. In this paper, we study both periodi...

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Main Authors: Menglan Hu, Ziyi Chen, Kai Peng, Xiaoqiang Ma, Pan Zhou, Jiangchuan Liu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8571229/
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spelling doaj-110b85d221f149fca05e8b828a3fd2f02021-03-29T22:05:48ZengIEEEIEEE Access2169-35362019-01-0172612262310.1109/ACCESS.2018.28859498571229Periodic Charging for Wireless Sensor Networks With Multiple Portable ChargersMenglan Hu0https://orcid.org/0000-0003-2800-4348Ziyi Chen1Kai Peng2https://orcid.org/0000-0001-9910-4237Xiaoqiang Ma3https://orcid.org/0000-0001-9987-0329Pan Zhou4https://orcid.org/0000-0002-8629-4622Jiangchuan Liu5School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, ChinaSchool of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, ChinaSchool of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, ChinaSchool of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, ChinaSchool of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, ChinaSchool of Computing Science, Simon Fraser University, BC, CanadaFinite battery capacity limits the network lifetime of wireless sensor networks, and thus severely impedes the deployment of large scale sensor networks. To prolong the lifetime, researchers utilize mobile chargers to recharge sensors with external power sources. In this paper, we study both periodic charging time scheduling and charging path planning with multiple chargers. First, we present an efficient slot-based periodic charging time scheduling algorithm with both a fine-grained node classification scheme to prevent unnecessary visits of energy-sufficient nodes, and a balanced charging task assignment scheme to avoid charging starvation. To further enhance charging efficiency, we also propose a charging path planning algorithm, which enables parallel power replenishment with multiple chargers. The simulation results show that our algorithms are effective and competitive when compared with existing algorithms.https://ieeexplore.ieee.org/document/8571229/Wireless sensor networkspower replenishmentpath planningscheduling
collection DOAJ
language English
format Article
sources DOAJ
author Menglan Hu
Ziyi Chen
Kai Peng
Xiaoqiang Ma
Pan Zhou
Jiangchuan Liu
spellingShingle Menglan Hu
Ziyi Chen
Kai Peng
Xiaoqiang Ma
Pan Zhou
Jiangchuan Liu
Periodic Charging for Wireless Sensor Networks With Multiple Portable Chargers
IEEE Access
Wireless sensor networks
power replenishment
path planning
scheduling
author_facet Menglan Hu
Ziyi Chen
Kai Peng
Xiaoqiang Ma
Pan Zhou
Jiangchuan Liu
author_sort Menglan Hu
title Periodic Charging for Wireless Sensor Networks With Multiple Portable Chargers
title_short Periodic Charging for Wireless Sensor Networks With Multiple Portable Chargers
title_full Periodic Charging for Wireless Sensor Networks With Multiple Portable Chargers
title_fullStr Periodic Charging for Wireless Sensor Networks With Multiple Portable Chargers
title_full_unstemmed Periodic Charging for Wireless Sensor Networks With Multiple Portable Chargers
title_sort periodic charging for wireless sensor networks with multiple portable chargers
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2019-01-01
description Finite battery capacity limits the network lifetime of wireless sensor networks, and thus severely impedes the deployment of large scale sensor networks. To prolong the lifetime, researchers utilize mobile chargers to recharge sensors with external power sources. In this paper, we study both periodic charging time scheduling and charging path planning with multiple chargers. First, we present an efficient slot-based periodic charging time scheduling algorithm with both a fine-grained node classification scheme to prevent unnecessary visits of energy-sufficient nodes, and a balanced charging task assignment scheme to avoid charging starvation. To further enhance charging efficiency, we also propose a charging path planning algorithm, which enables parallel power replenishment with multiple chargers. The simulation results show that our algorithms are effective and competitive when compared with existing algorithms.
topic Wireless sensor networks
power replenishment
path planning
scheduling
url https://ieeexplore.ieee.org/document/8571229/
work_keys_str_mv AT menglanhu periodicchargingforwirelesssensornetworkswithmultipleportablechargers
AT ziyichen periodicchargingforwirelesssensornetworkswithmultipleportablechargers
AT kaipeng periodicchargingforwirelesssensornetworkswithmultipleportablechargers
AT xiaoqiangma periodicchargingforwirelesssensornetworkswithmultipleportablechargers
AT panzhou periodicchargingforwirelesssensornetworkswithmultipleportablechargers
AT jiangchuanliu periodicchargingforwirelesssensornetworkswithmultipleportablechargers
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