{"title":"移动充电车充电调度设计","authors":"Ruru Duan, Cheng Xu","doi":"10.1109/icceic51584.2020.00065","DOIUrl":null,"url":null,"abstract":"This paper proposes a mobile charging algorithm for mobile charging vehicles based on WRSNs, which uses network non-uniform clustering and low energy consumption path selection to perform reasonable charging scheduling for mobile charging vehicles. A comparative simulation experiment was carried out on MATLAB to evaluate the performance of the mobile charging algorithm. The results show that in a charging network with 150 nodes, the highest charging efficiency is about 73%, the lowest charging efficiency is about 65%, and the average achievable charging efficiency is 69%. Compared with the TSP algorithm, the network availability of the mobile charging algorithm is increased by about 26%, and the data transmission capacity is increased by about 37.5%.","PeriodicalId":135840,"journal":{"name":"2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Charging Scheduling Design of Mobile Charging Vehicle\",\"authors\":\"Ruru Duan, Cheng Xu\",\"doi\":\"10.1109/icceic51584.2020.00065\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a mobile charging algorithm for mobile charging vehicles based on WRSNs, which uses network non-uniform clustering and low energy consumption path selection to perform reasonable charging scheduling for mobile charging vehicles. A comparative simulation experiment was carried out on MATLAB to evaluate the performance of the mobile charging algorithm. The results show that in a charging network with 150 nodes, the highest charging efficiency is about 73%, the lowest charging efficiency is about 65%, and the average achievable charging efficiency is 69%. Compared with the TSP algorithm, the network availability of the mobile charging algorithm is increased by about 26%, and the data transmission capacity is increased by about 37.5%.\",\"PeriodicalId\":135840,\"journal\":{\"name\":\"2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC)\",\"volume\":\"46 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/icceic51584.2020.00065\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/icceic51584.2020.00065","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Charging Scheduling Design of Mobile Charging Vehicle
This paper proposes a mobile charging algorithm for mobile charging vehicles based on WRSNs, which uses network non-uniform clustering and low energy consumption path selection to perform reasonable charging scheduling for mobile charging vehicles. A comparative simulation experiment was carried out on MATLAB to evaluate the performance of the mobile charging algorithm. The results show that in a charging network with 150 nodes, the highest charging efficiency is about 73%, the lowest charging efficiency is about 65%, and the average achievable charging efficiency is 69%. Compared with the TSP algorithm, the network availability of the mobile charging algorithm is increased by about 26%, and the data transmission capacity is increased by about 37.5%.
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