MNVPCS: Multinode Virtual-Point–Based Charging Scheme to Prolong the Lifetime of Wireless Rechargeable Sensor Networks

Author:

Chang Hong-Yi1,Hang Zih-Huan1,Tzang Yih-Jou2

Affiliation:

1. Department of Management Information Systems, National Chiayi University, Chiayi, Taiwan

2. Department of Computer Science and Information Engineering, Hungkuo Delin University of Technology, New Taipei, Taiwan

Abstract

AbstractWireless-charging technology can utilize a mobile wireless charging vehicle (WCV) to rescue dying nodes by supplementing their remaining energy, and using WCVs in this way forms wireless rechargeable sensor networks (WRSNs). However, a WCV in a WRSN encounters several challenges, collectively called the optimized charging problem. This problem involves a set of sensor nodes randomly distributed on the ground for which the WCV must determine an appropriate travel path to charge the sensor nodes. Because these sensor nodes have different workloads, they exhibit different energy consumption profiles over time. Resolving the above-mentioned problem requires the determination of the priority of charging the sensor nodes based on the order in which they are expected to die and subsequently finding the most efficient path to charge the sensor nodes such that sensor death is avoided for as long as possible. Furthermore, the most efficient placement of the charging point needs to be considered when planning the charging path. To address this, the proposed multinode virtual point-based charging scheme (MNVPCS) considers both the planning of an efficient charging and the best location for the charging point. Experimental results show that MNVPCS can improve the lifetime of the entire WRSN and substantially outperform other methods on this measure.

Funder

Ministry of Science and Technology

Publisher

Oxford University Press (OUP)

Subject

General Computer Science

Reference27 articles.

1. Prolonging the lifetime of wireless sensor networks: A review of current techniques;Engmann;Wirel. Commun. Mobil. Com.,2018

2. Power management in energy harvesting sensor networks;Kansal;ACM T. Embed. Comput. S.,2007

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. 3-D Heterogeneous Wireless Charger Empowered Wireless Rechargeable Sensor Network;2023 3rd International Conference on Electronic Information Engineering and Computer Science (EIECS);2023-09-22

2. Mobile Charging Sequence Scheduling for Optimal Sensing Coverage in Wireless Rechargeable Sensor Networks;Applied Sciences;2023-02-22

3. Robust Wireless Rechargeable Sensor Networks;IEEE/ACM Transactions on Networking;2022

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3