{"title":"国际学术网络中的模糊逻辑路由","authors":"G. Cibira, M. Ďulík","doi":"10.1109/ELEKTRO.2016.7512031","DOIUrl":null,"url":null,"abstract":"This article brings new method how to evaluate and assess optical network links and finally, to find an optimal path. To test and prove introduced assumptions in the article, data transport theory is merged and implemented into a simulation models. Simulation models demonstrate a novel approach, optimizing existing optical links and computing optimal path to transfer data bulks. To process unambiguous input parameters relationships, fuzzy logic is employed to assess each link quality and utilization. To provide comprehensive evaluation, several parameters are taken into account.","PeriodicalId":369251,"journal":{"name":"2016 ELEKTRO","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Fuzzy logic routing within international academic networks\",\"authors\":\"G. Cibira, M. Ďulík\",\"doi\":\"10.1109/ELEKTRO.2016.7512031\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article brings new method how to evaluate and assess optical network links and finally, to find an optimal path. To test and prove introduced assumptions in the article, data transport theory is merged and implemented into a simulation models. Simulation models demonstrate a novel approach, optimizing existing optical links and computing optimal path to transfer data bulks. To process unambiguous input parameters relationships, fuzzy logic is employed to assess each link quality and utilization. To provide comprehensive evaluation, several parameters are taken into account.\",\"PeriodicalId\":369251,\"journal\":{\"name\":\"2016 ELEKTRO\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-05-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 ELEKTRO\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ELEKTRO.2016.7512031\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 ELEKTRO","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ELEKTRO.2016.7512031","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fuzzy logic routing within international academic networks
This article brings new method how to evaluate and assess optical network links and finally, to find an optimal path. To test and prove introduced assumptions in the article, data transport theory is merged and implemented into a simulation models. Simulation models demonstrate a novel approach, optimizing existing optical links and computing optimal path to transfer data bulks. To process unambiguous input parameters relationships, fuzzy logic is employed to assess each link quality and utilization. To provide comprehensive evaluation, several parameters are taken into account.
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