文献类型：期刊文献

英文题名：An adaptive on-demand charging scheme for rechargeable wireless sensor networks

作者：Chen, Zhansheng[1,2];Shen, Hong[3];Wang, Tingmei[2];Zhao, Xiaofan[4]

第一作者：陈战胜;Chen, Zhansheng

通讯作者：Chen, ZS[1]

机构：[1]Beijing Jiaotong Univ, Sch Comp & Informat Technol, Beijing, Peoples R China;[2]Beijing Union Univ, Sch Appl Sci & Technol, Beijing, Peoples R China;[3]Sun Yat Sen Univ, Sch Data & Comp Sci, Guangzhou, Peoples R China;[4]Peoples Publ Secur Univ China, Beijing, Peoples R China

第一机构：Beijing Jiaotong Univ, Sch Comp & Informat Technol, Beijing, Peoples R China

通讯机构：[1]corresponding author), Beijing Jiaotong Univ, Sch Comp & Informat Technol, Beijing, Peoples R China.

年份：2022

卷号：34

期号：2

外文期刊名：CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE

收录：;EI(收录号：20205009621176);Scopus(收录号：2-s2.0-85097510273);WOS:【SCI-EXPANDED(收录号:WOS:000598351200001)】；

基金：Australian Research Council Discovery Project under Grant DP150104871, Grant/Award Number: DP150104871; open fund of Guangxi Key laboratory of hybrid computation and IC design analysis; the Fundamental Research Funds for the New Teachers' Scientific Research Fund of People's Public Security University of China; the Key-Area Research and Development Program of Guandong Province, Grant/Award Number: 2020B010164003; the Research Funds of School of Applied Science and Technology

语种：英文

外文关键词：charging efficiency; charging latency; charging throughput; on‐ demand mobile charging; rechargeable wireless sensor networks

摘要：In view of the stability and reliability of energy supply, distinct from the time-varying and uncertainty of energy harvesting systems, adopting mobile vehicles to replenish energy of sensors has become a research hotspot. While some existing studies on the mobile recharging problem ignored the limited energy capacity carried by mobile vehicle and the difference in energy consumption rates of sensors, in this work, we propose an adaptive real-time on-demand charging scheduling scheme that maximizes energy efficiency (CSS-MEE) for Rechargeable Wireless Sensor Networks. In CSS-MEE, we aim to achieve a compromise between maximizing charging energy efficiency and maximizing charging throughput for solving the on-demand mobile charging problem. Due to the limited energy capacity of the mobile charger, CSS-MEE uses both full-charge mode and adaptive charging mode, depending on the number of charging requests. It combines charging node selection with dispatch path feasibility determination, which takes into account the location-generated charging cost and energy-driven charging priority, to ensure the charging efficiency. Extensive simulations are conducted to demonstrate the advantages of CSS-MEE. Compared with existing approaches, simulation results show that CSS-MEE achieves better performance in terms of charging throughput, average charging latency, charge scheduling times, and charging efficiency.