Y. Kavian, H. Rashvand, M. Leeson, W. Ren, E. Hines, M. Naderi
{"title":"基于遗传算法的DWDM光网络qos RWA","authors":"Y. Kavian, H. Rashvand, M. Leeson, W. Ren, E. Hines, M. Naderi","doi":"10.1109/ICTONMW.2008.4773098","DOIUrl":null,"url":null,"abstract":"This paper presents the integration of quality of service (QoS) requirements in routing and wavelength assignment (RWA) problems to design wavelength-routed dense wavelength division multiplexing (DWDM) optical networks. A genetic algorithm (GA) optimization approach is employed to solve this complex and multi-constraint problem under heavy load demand matrices employing the COST239 test bench. Simulation results demonstrate that the GA is efficient to establish both bandwidth and propagation delay optimization lightpaths.","PeriodicalId":298995,"journal":{"name":"2008 2nd ICTON Mediterranean Winter","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"QoS-based RWA in DWDM optical networks using genetic algorithms\",\"authors\":\"Y. Kavian, H. Rashvand, M. Leeson, W. Ren, E. Hines, M. Naderi\",\"doi\":\"10.1109/ICTONMW.2008.4773098\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents the integration of quality of service (QoS) requirements in routing and wavelength assignment (RWA) problems to design wavelength-routed dense wavelength division multiplexing (DWDM) optical networks. A genetic algorithm (GA) optimization approach is employed to solve this complex and multi-constraint problem under heavy load demand matrices employing the COST239 test bench. Simulation results demonstrate that the GA is efficient to establish both bandwidth and propagation delay optimization lightpaths.\",\"PeriodicalId\":298995,\"journal\":{\"name\":\"2008 2nd ICTON Mediterranean Winter\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 2nd ICTON Mediterranean Winter\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICTONMW.2008.4773098\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 2nd ICTON Mediterranean Winter","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICTONMW.2008.4773098","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
QoS-based RWA in DWDM optical networks using genetic algorithms
This paper presents the integration of quality of service (QoS) requirements in routing and wavelength assignment (RWA) problems to design wavelength-routed dense wavelength division multiplexing (DWDM) optical networks. A genetic algorithm (GA) optimization approach is employed to solve this complex and multi-constraint problem under heavy load demand matrices employing the COST239 test bench. Simulation results demonstrate that the GA is efficient to establish both bandwidth and propagation delay optimization lightpaths.
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