{"title":"Fuzzy inference system for QoS routing in B-ISDN","authors":"E. Aboelela, C. Douligeris","doi":"10.1109/CCECE.1998.682571","DOIUrl":null,"url":null,"abstract":"Routing algorithms are required to guarantee the various quality of service (QoS) characteristics requested by the wide range of applications supported by broadband integrated services digital networks (B-ISDN). However, it is known that such a routing problem, with two or more additive or multiplicative QoS metrics in any possible combination is NP-complete. In this paper, we propose a heuristic approach based on fuzzy logic. For each metric, a fuzzy membership function is defined to reflect the QoS requirements from that metric. A fuzzy-inference rule base is implemented to generate the fuzzy cost of each path based on the crisp values of the different metrics possibly used in the network links.","PeriodicalId":177613,"journal":{"name":"Conference Proceedings. IEEE Canadian Conference on Electrical and Computer Engineering (Cat. No.98TH8341)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference Proceedings. IEEE Canadian Conference on Electrical and Computer Engineering (Cat. No.98TH8341)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCECE.1998.682571","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
Abstract
Routing algorithms are required to guarantee the various quality of service (QoS) characteristics requested by the wide range of applications supported by broadband integrated services digital networks (B-ISDN). However, it is known that such a routing problem, with two or more additive or multiplicative QoS metrics in any possible combination is NP-complete. In this paper, we propose a heuristic approach based on fuzzy logic. For each metric, a fuzzy membership function is defined to reflect the QoS requirements from that metric. A fuzzy-inference rule base is implemented to generate the fuzzy cost of each path based on the crisp values of the different metrics possibly used in the network links.
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