{"title":"路由信息传输的多智能体合作研究","authors":"Hong He, Shengzhong Yuan, Baowen Xu","doi":"10.1109/SPCA.2006.297604","DOIUrl":null,"url":null,"abstract":"Computing routing information (RI) on-demand is very practical to improve QoS because Internet is dynamic and the pre-computation of RI is often a waste of resources. But on-demand computation means only a small amount of RI are new and need to be updated in RI table (RIT) in each computation. In order to save the bandwidth of transmitting RITs, we design a multi-agent cooperative system, in which one monitoring agent initiatively checks up the RIT in succession and acquires the new updated information, delivers to other routers. The dispose agent receives the new RI and updates local RIT. The simulation experiment proves that the method is highly effective and practical","PeriodicalId":232800,"journal":{"name":"2006 First International Symposium on Pervasive Computing and Applications","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Multi-agent Cooperative Study of Transmitting Routing Information\",\"authors\":\"Hong He, Shengzhong Yuan, Baowen Xu\",\"doi\":\"10.1109/SPCA.2006.297604\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Computing routing information (RI) on-demand is very practical to improve QoS because Internet is dynamic and the pre-computation of RI is often a waste of resources. But on-demand computation means only a small amount of RI are new and need to be updated in RI table (RIT) in each computation. In order to save the bandwidth of transmitting RITs, we design a multi-agent cooperative system, in which one monitoring agent initiatively checks up the RIT in succession and acquires the new updated information, delivers to other routers. The dispose agent receives the new RI and updates local RIT. The simulation experiment proves that the method is highly effective and practical\",\"PeriodicalId\":232800,\"journal\":{\"name\":\"2006 First International Symposium on Pervasive Computing and Applications\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 First International Symposium on Pervasive Computing and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SPCA.2006.297604\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 First International Symposium on Pervasive Computing and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPCA.2006.297604","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Multi-agent Cooperative Study of Transmitting Routing Information
Computing routing information (RI) on-demand is very practical to improve QoS because Internet is dynamic and the pre-computation of RI is often a waste of resources. But on-demand computation means only a small amount of RI are new and need to be updated in RI table (RIT) in each computation. In order to save the bandwidth of transmitting RITs, we design a multi-agent cooperative system, in which one monitoring agent initiatively checks up the RIT in succession and acquires the new updated information, delivers to other routers. The dispose agent receives the new RI and updates local RIT. The simulation experiment proves that the method is highly effective and practical
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