{"title":"Information exchange for routing protocols","authors":"A. Barbero, Øyvind Ytrehus","doi":"10.1109/ITA.2014.6804243","DOIUrl":null,"url":null,"abstract":"Distance vector routing is a classic distributed algorithm for obtaining routing tables in a communication network. The algorithm relies on message exchange between neighbor routers. This paper studies the amount of routing data that needs to be stored and exchanged. On a static network, a variation of the algorithm that exchanges routing trees or pseudotrees is slightly more information theoretically efficient than a traditional implementation that exchanges tables. Knowledge of an underlying graph model and proper estimation of parameters allow more efficient coding schemes, including schemes related to Slepian-Wolf coding. Further improvements can be obtained on a dynamic network.","PeriodicalId":338302,"journal":{"name":"2014 Information Theory and Applications Workshop (ITA)","volume":"367 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 Information Theory and Applications Workshop (ITA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITA.2014.6804243","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
Distance vector routing is a classic distributed algorithm for obtaining routing tables in a communication network. The algorithm relies on message exchange between neighbor routers. This paper studies the amount of routing data that needs to be stored and exchanged. On a static network, a variation of the algorithm that exchanges routing trees or pseudotrees is slightly more information theoretically efficient than a traditional implementation that exchanges tables. Knowledge of an underlying graph model and proper estimation of parameters allow more efficient coding schemes, including schemes related to Slepian-Wolf coding. Further improvements can be obtained on a dynamic network.