{"title":"基于云计算的智能电网光通信网络路由算法分析","authors":"Zhifeng Tian, Xiaoqi Huang, Jia Chen","doi":"10.1117/12.3032064","DOIUrl":null,"url":null,"abstract":"An information routing planning model based on cloud computing and hybrid particle swarm optimisation is proposed to address the problems of traditional routing planning for smart grids. The model constructs a smart grid routing and transmission channel model in an optical communication network in a cloud computing environment and uses a hybrid particle swarm optimisation approach to find the optimal routing distribution. Dynamic neighbourhood decision making and adaptive updating of node positions improves smart grid management, reduces BER and increases information transmission load.","PeriodicalId":342847,"journal":{"name":"International Conference on Algorithms, Microchips and Network Applications","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analysis of routing algorithm for smart grid optical communication network based on cloud computing\",\"authors\":\"Zhifeng Tian, Xiaoqi Huang, Jia Chen\",\"doi\":\"10.1117/12.3032064\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An information routing planning model based on cloud computing and hybrid particle swarm optimisation is proposed to address the problems of traditional routing planning for smart grids. The model constructs a smart grid routing and transmission channel model in an optical communication network in a cloud computing environment and uses a hybrid particle swarm optimisation approach to find the optimal routing distribution. Dynamic neighbourhood decision making and adaptive updating of node positions improves smart grid management, reduces BER and increases information transmission load.\",\"PeriodicalId\":342847,\"journal\":{\"name\":\"International Conference on Algorithms, Microchips and Network Applications\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-06-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Algorithms, Microchips and Network Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1117/12.3032064\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Algorithms, Microchips and Network Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.3032064","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analysis of routing algorithm for smart grid optical communication network based on cloud computing
An information routing planning model based on cloud computing and hybrid particle swarm optimisation is proposed to address the problems of traditional routing planning for smart grids. The model constructs a smart grid routing and transmission channel model in an optical communication network in a cloud computing environment and uses a hybrid particle swarm optimisation approach to find the optimal routing distribution. Dynamic neighbourhood decision making and adaptive updating of node positions improves smart grid management, reduces BER and increases information transmission load.