文献类型：期刊文献

英文题名：Delay-Tolerant On-Demand Mobile Charging Scheduling Scheme for Wireless Rechargeable Sensor Networks

作者：Chen, Zhansheng[1,2]; Shen, Hong[3,4]; Zhao, Xiaofan[5]

第一作者：陈战胜;Chen, Zhansheng

机构：[1] School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China; [2] School of Applied Science and Technology, Beijing Union University, Beijing, China; [3] School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China; [4] School of Computer Science, University of Adelaide, Adelaide, Australia; [5] School of information technology and cyber security, People's Public Security University of China, Beijing, China

第一机构：School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China

年份：2018

卷号：2018-December

起止页码：29-35

外文期刊名：Proceedings - International Symposium on Parallel Architectures, Algorithms and Programming, PAAP

收录：EI(收录号：20192006936694)

语种：英文

外文关键词：Sensor nodes - Delay tolerant networks - Rational functions - Scheduling algorithms - Outages

摘要：Wireless sensor networks based on mobile charging vehicle can significantly alleviate the problem of network energy hole and extend network lifetime, but it is faced with how to improve the charging efficiency when the charger's power is constant. In this paper, a delay-tolerant on-demand mobile charging scheduling scheme (DMCSS) is proposed for maximizing the the charging efficiency and preventing nodes from premature failure under the condition of limited mobile charger capacity. The main challenges of our scheme are how to optimize the trajectory and maximize charging efficiency. In DMCSS, we design an adaptive and scalable energy charging strategy for realizing the rational allocation of power resource and devise an efficient next charging node selection algorithm function by considering the angle, the residual energy of RS and the current distance between request RS and MCV. With extensive simulations, we demonstrate that DMCSS scheme not only significantly increases charing efficiency, compared with EDF, NJNP, LADP, and RCSS schemes, but also prevents nodes from premature failure. ? 2018 IEEE.