{"title":"Fuzzy controlled optical network","authors":"G. Cibira, M. Ďulík","doi":"10.23919/KIT.2017.8109444","DOIUrl":null,"url":null,"abstract":"To achieve optimal data routing along fiber optics, analytical and algorithmic methods are used. When some degradation factors cause temporary optical fiber impairment, optimization of data routing is an essential problem. However, the temporality is quite vague and, some network parameters are difficult to quantify. While optimizing temporarily changed route in an optical network, any cooperating solution might be helpful to re-route transmission links to avoid links overloading and data loss. This paper provides novel solution for routing optimization within simple multi-path optical network. Fuzzy logic diagnostic and control subsystem enable transmission threats evaluation within an optical network. They cooperatively generate the most appropriate dynamic decisions for current data routing. They also improve data transmission reliability. Proposed fuzzy rules are particularly discussed in the paper.","PeriodicalId":286332,"journal":{"name":"2017 Communication and Information Technologies (KIT)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Communication and Information Technologies (KIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/KIT.2017.8109444","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
To achieve optimal data routing along fiber optics, analytical and algorithmic methods are used. When some degradation factors cause temporary optical fiber impairment, optimization of data routing is an essential problem. However, the temporality is quite vague and, some network parameters are difficult to quantify. While optimizing temporarily changed route in an optical network, any cooperating solution might be helpful to re-route transmission links to avoid links overloading and data loss. This paper provides novel solution for routing optimization within simple multi-path optical network. Fuzzy logic diagnostic and control subsystem enable transmission threats evaluation within an optical network. They cooperatively generate the most appropriate dynamic decisions for current data routing. They also improve data transmission reliability. Proposed fuzzy rules are particularly discussed in the paper.