个人信息Personal Information
副教授
博士生导师
硕士生导师
任职 : 档案馆、校史馆副馆长(挂职)
性别:男
毕业院校:大连理工大学
学位:博士
所在单位:软件学院、国际信息与软件学院
学科:软件工程. 计算机应用技术
联系方式:0411-62274417
电子邮箱:c.lin@dlut.edu.cn
Hybrid charging scheduling schemes for three-dimensional underwater wireless rechargeable sensor networks
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论文类型:期刊论文
发表时间:2018-12-01
发表刊物:JOURNAL OF SYSTEMS AND SOFTWARE
收录刊物:SCIE、Scopus
卷号:146
页面范围:42-58
ISSN号:0164-1212
关键字:Underwater wireless rechargeable sensor networks; Charging scheduling; Charging efficiency; Average waiting time
摘要:Recent breakthrough in wireless power transfer provides a new paradigm for enabling wireless energy replenishment for wireless rechargeable sensor networks, especially in the underwater environment. In this paper, we first propose the concept of UWRSNs (underwater wireless rechargeable sensor networks) and then develop a series of 3D charging schemes for enhancing charging efficiency, using underwater charging robot mules in three-dimensional charging scenarios. Through constructing the architecture of UWRSNs, we develop a basic charging scheme SCS (Shortest-path Charging Scheme), which minimizes the traveling cost for the charging mules in the 3D underwater environment. Then, ECS (Emergency Charging Scheme) is proposed, which concentrates on serving emergency nodes. After that, a charging algorithm that combines ECS and SCS to collaboratively solve the charging problem, namely, HOCS (Hybrid Optimal Charging Scheme) is developed. At last, experimental simulations are conducted to show the outperformed merits of the proposed scheme. Experimental results demonstrate that our schemes not only save energy and time, but also ensure effective utilization of resources. (C) 2018 Elsevier Inc. All rights reserved.