{"title":"网络编码多播的一种编码节点少的分散方法","authors":"Xiao Sun","doi":"10.1109/YCICT.2010.5713087","DOIUrl":null,"url":null,"abstract":"Previous works on network coding have mainly focused on the throughput and the cost of bandwidth, but few cares about saving resources used to code. In this paper we present a decentralized algorithm to construct network coding solutions, which reduces the number of coding nodes. We showed the dynamic topology greatly affected the network coding solutions, which may improve coding solution or reduce the coding nodes and we also analyzed some useful behaviors in feasible network coding solutions. By the nodes independently attempting those behaviors in dynamic topology, we introduce a fully decentralized algorithm of constructing coding solution. By simulation we found our approach has excellent performance, which achieves the approximate throughput compared to completely Randomized Network Coding, but only employing 10%–20% of nodes to code.","PeriodicalId":179847,"journal":{"name":"2010 IEEE Youth Conference on Information, Computing and Telecommunications","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A decentralized approach with fewer coding nodes for network coding multicast\",\"authors\":\"Xiao Sun\",\"doi\":\"10.1109/YCICT.2010.5713087\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Previous works on network coding have mainly focused on the throughput and the cost of bandwidth, but few cares about saving resources used to code. In this paper we present a decentralized algorithm to construct network coding solutions, which reduces the number of coding nodes. We showed the dynamic topology greatly affected the network coding solutions, which may improve coding solution or reduce the coding nodes and we also analyzed some useful behaviors in feasible network coding solutions. By the nodes independently attempting those behaviors in dynamic topology, we introduce a fully decentralized algorithm of constructing coding solution. By simulation we found our approach has excellent performance, which achieves the approximate throughput compared to completely Randomized Network Coding, but only employing 10%–20% of nodes to code.\",\"PeriodicalId\":179847,\"journal\":{\"name\":\"2010 IEEE Youth Conference on Information, Computing and Telecommunications\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE Youth Conference on Information, Computing and Telecommunications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/YCICT.2010.5713087\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE Youth Conference on Information, Computing and Telecommunications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/YCICT.2010.5713087","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A decentralized approach with fewer coding nodes for network coding multicast
Previous works on network coding have mainly focused on the throughput and the cost of bandwidth, but few cares about saving resources used to code. In this paper we present a decentralized algorithm to construct network coding solutions, which reduces the number of coding nodes. We showed the dynamic topology greatly affected the network coding solutions, which may improve coding solution or reduce the coding nodes and we also analyzed some useful behaviors in feasible network coding solutions. By the nodes independently attempting those behaviors in dynamic topology, we introduce a fully decentralized algorithm of constructing coding solution. By simulation we found our approach has excellent performance, which achieves the approximate throughput compared to completely Randomized Network Coding, but only employing 10%–20% of nodes to code.