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Delay-Tolerant On-Demand Mobile Charging Scheduling Scheme for Wireless Rechargeable Sensor Networks  ( CPCI-S收录 EI收录)  

文献类型:会议论文

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:Chen, Zhansheng;陈战胜

通讯作者:Chen, ZS[1];Chen, ZS[2]

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, Guangdong, Peoples R China;[4]Univ Adelaide, Sch Comp Sci, Adelaide, SA, Australia;[5]Peoples Publ Secur Univ China, Sch Informat Technol & Cyber Secur, 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;[2]corresponding author), Beijing Union Univ, Sch Appl Sci & Technol, Beijing, Peoples R China.|[1141775]北京联合大学应用科技学院;[11417]北京联合大学;

会议论文集:9th International Conference on Parallel Architectures, Algorithms and Programming (PAAP)

会议日期:DEC 26-28, 2018

会议地点:Natl Taiwan Univ Sci & Technol, Taipei, TAIWAN

主办单位:Natl Taiwan Univ Sci & Technol

语种:英文

外文关键词:wireless rechargeable sensor networks (WRSNs); adaptive scheduling algorithm; delay-tolerant; mobile charging; on-demand energy replenishment

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.

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