无线可充电传感器网络中多MCV充电路径优化
Optimization of Multi-MCV Charging Path in Wireless Rechargeable Sensor Networks
DOI: 10.12677/AAM.2021.109310, PDF,    科研立项经费支持
作者: 郑睿彦, 周 何：青岛理工大学管理工程学院，山东 青岛；侯宇轩：青岛理工大学信息与控制工程学院，山东 青岛；范兴奎*：青岛理工大学理学院，山东 青岛
关键词: 无线可充电传感器网络；MTSP；0-1整数规划模型；模拟退火算法；Wireless Rechargeable Sensor Network； MTSP； 0-1 Integer Programming Model； Simulated Annealing Algorithm
摘要: 充电路径的合理规划是保证无线可充电传感器网络稳定运行的关键。本文将该类问题抽象成MTSP问题，提出了一种多MCV工作的充电路径规划模型。通过预估可能解的数量，利用模拟退火算法对路径规划问题进行求解，经过313次迭代后得出充电路径规划的最优方案。
Abstract: The reasonable planning of charging path is the key to ensure the stability of wireless rechargeable sensor networks. In this paper, this kind of problem is abstracted as MTSP problem, and a charging path planning model with multi-MCV operation is proposed. By estimating the number of possible solutions, the simulated annealing algorithm is used to solve the path planning problem, and the optimal charging path planning scheme is obtained after 313 iterations.
文章引用：郑睿彦, 周何, 侯宇轩, 范兴奎. 无线可充电传感器网络中多MCV充电路径优化[J]. 应用数学进展, 2021, 10(9): 2960-2966. https://doi.org/10.12677/AAM.2021.109310

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