Charging path optimization for wireless rechargeable sensor network

被引：8
作者：
Wang, Qian [1 ]
Cui, Zhihua [1 ]
Wang, Lifang [1 ]
机构：
[1] Taiyuan Univ Sci & Technol, Sch Comp Sci & Technol, Taiyuan 030024, Peoples R China
来源：
PEER-TO-PEER NETWORKING AND APPLICATIONS | 2021年 / 14卷 / 02期
关键词：
WRSNs; MCs; Charging path; Improved NSGA-III; POWER TRANSFER; ALGORITHM; PSO;
D O I：
10.1007/s12083-020-01005-1
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In wireless rechargeable sensor networks(WRSNs), charging path planning becomes more and more important. In this paper, a charging path planning model based on high-dimensional multi-objective optimization is proposed, which takes life cycle, distance, energy consumption and charging time into consideration. At the same time, an improved algorithm is proposed to improve the crossover mode and diversity of the reference-point-based many-objective evolutionary algorithm following non-dominated sorting genetic algorithm(NSGA)&NSGA-II framework(we call it NSGA-III) for charging path planning. In the end, the validity of the charging process and the rationality of the charging path are verified by experimental comparison.
引用
收藏
页码：497 / 506
页数：10
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