{"title":"一种基于模糊决策的智能QoS组播路由算法","authors":"Junwei Wang, Zhaoxia Wu","doi":"10.1109/ICAL.2011.6024705","DOIUrl":null,"url":null,"abstract":"Multicast with QoS (Quality of Service) is regarded as a promising solution for group multimedia applications in NGI (Next Generation Internet). Due to the characteristics of difficulty on exact measurement and complete expression of network parameters, a flexible QoS multicast routing algorithm based on Artificial Fish Swarm (AFS) algorithm is presented with introduction of principle of fuzzy mathematics. The corresponding model and its mathematical description are introduced. Under inaccurate information of QoS parameters and users' flexible QoS constraints, the proposed algorithm tries to find the multicast tree with maximum reliability degree and user's QoS satisfaction degree. Simulation results have shown that the proposed algorithm provides an available approach to QoS Multicast routing in networks environment with uncertain parameters.","PeriodicalId":351518,"journal":{"name":"2011 IEEE International Conference on Automation and Logistics (ICAL)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"A fuzzy decision based intelligent QoS multicast routing algorithm\",\"authors\":\"Junwei Wang, Zhaoxia Wu\",\"doi\":\"10.1109/ICAL.2011.6024705\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Multicast with QoS (Quality of Service) is regarded as a promising solution for group multimedia applications in NGI (Next Generation Internet). Due to the characteristics of difficulty on exact measurement and complete expression of network parameters, a flexible QoS multicast routing algorithm based on Artificial Fish Swarm (AFS) algorithm is presented with introduction of principle of fuzzy mathematics. The corresponding model and its mathematical description are introduced. Under inaccurate information of QoS parameters and users' flexible QoS constraints, the proposed algorithm tries to find the multicast tree with maximum reliability degree and user's QoS satisfaction degree. Simulation results have shown that the proposed algorithm provides an available approach to QoS Multicast routing in networks environment with uncertain parameters.\",\"PeriodicalId\":351518,\"journal\":{\"name\":\"2011 IEEE International Conference on Automation and Logistics (ICAL)\",\"volume\":\"38 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-09-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE International Conference on Automation and Logistics (ICAL)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAL.2011.6024705\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE International Conference on Automation and Logistics (ICAL)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAL.2011.6024705","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
摘要
具有QoS (Quality of Service)的组播被认为是下一代互联网中群组多媒体应用的一种很有前途的解决方案。针对网络参数难以精确测量和完整表达的特点,引入模糊数学原理,提出了一种基于人工鱼群(Artificial Fish Swarm, AFS)算法的灵活QoS组播路由算法。介绍了相应的模型及其数学描述。该算法在QoS参数信息不准确、用户QoS约束条件灵活的情况下,寻找可靠性和用户QoS满意度最大的组播树。仿真结果表明,该算法为网络参数不确定环境下的QoS组播路由提供了一种可行的方法。
A fuzzy decision based intelligent QoS multicast routing algorithm
Multicast with QoS (Quality of Service) is regarded as a promising solution for group multimedia applications in NGI (Next Generation Internet). Due to the characteristics of difficulty on exact measurement and complete expression of network parameters, a flexible QoS multicast routing algorithm based on Artificial Fish Swarm (AFS) algorithm is presented with introduction of principle of fuzzy mathematics. The corresponding model and its mathematical description are introduced. Under inaccurate information of QoS parameters and users' flexible QoS constraints, the proposed algorithm tries to find the multicast tree with maximum reliability degree and user's QoS satisfaction degree. Simulation results have shown that the proposed algorithm provides an available approach to QoS Multicast routing in networks environment with uncertain parameters.