徐博

个人信息Personal Information

副教授

博士生导师

硕士生导师

性别:女

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

办公地点:开发区校区综合楼317

电子邮箱:BoXu@dlut.edu.cn

扫描关注

论文成果

当前位置: 中文主页 >> 科学研究 >> 论文成果

Double warning thresholds for preemptive charging scheduling in Wireless Rechargeable Sensor Networks

点击次数:

论文类型:期刊论文

发表时间:2019-01-15

发表刊物:COMPUTER NETWORKS

收录刊物:SCIE、EI

卷号:148

页面范围:72-87

ISSN号:1389-1286

关键字:Wireless rechargeable sensor networks; Charging scheduling; Warning thresholds; Charging efficiency; Collaborative charging

摘要:Wireless power transfer technique provides new alternatives for solving the limited power capacity problem for ubiquitous mobile wireless devices, and makes wireless rechargeable sensor networks (WRSNs) promising. However, mainly due to the underestimate of unbalanced influences of spatial and temporal constraints posed by charging requests, traditional scheduling strategies achieve rather low charging request throughput and success rate, posing as a major bottleneck for further improvement. In this paper, we propose a Double Warning thresholds with Double Preemption (DWDP) charging scheme, in which double warning thresholds are used when residual energy levels of sensor nodes fall below certain thresholds. By introducing specific comparison rules, warning thresholds can be used to adjust charging priorities of different sensors, warn the upcoming recharge deadlines, as well as support preemptive scheduling. Then DWDP is extended to where multiple Wireless Charging Vehicles (WCVs) are employed, and a Collaborative Charging DWDP, namely CCDWDP is proposed. Finally, we conduct extensive simulations to manifest the advantages of DWDP as well as CCDWDP. Simulation results reveal that DWDP can achieve better performance in guaranteeing the successful scheduling of the high-priority task and improving stability of the system. CCDWDP outperforms in terms of high charging throughput and short charging delay. (C) 2018 Elsevier B.V. All rights reserved.