{"title":"xor喷泉代码的度分布:理论推导与分析","authors":"Lucie Nodin, A. Apavatjrut, C. Goursaud, J. Gorce","doi":"10.1109/APCC.2010.5679773","DOIUrl":null,"url":null,"abstract":"In this work, we focus on the use of network coding in a wireless sensor network where data is already encoded at the source node with fountain codes, in particular LT or Raptor codes. These codes have a specific degree distribution to follow in order to obtain an efficient decoding process. However, adding a layer of network coding on such packets triggers a distorsion of the degree distribution. Consequently, the packet overhead needed for the decoding process can grow significantly.","PeriodicalId":402292,"journal":{"name":"2010 16th Asia-Pacific Conference on Communications (APCC)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Degree distribution of XORed fountain codes: Theoretical derivation and analysis\",\"authors\":\"Lucie Nodin, A. Apavatjrut, C. Goursaud, J. Gorce\",\"doi\":\"10.1109/APCC.2010.5679773\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this work, we focus on the use of network coding in a wireless sensor network where data is already encoded at the source node with fountain codes, in particular LT or Raptor codes. These codes have a specific degree distribution to follow in order to obtain an efficient decoding process. However, adding a layer of network coding on such packets triggers a distorsion of the degree distribution. Consequently, the packet overhead needed for the decoding process can grow significantly.\",\"PeriodicalId\":402292,\"journal\":{\"name\":\"2010 16th Asia-Pacific Conference on Communications (APCC)\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 16th Asia-Pacific Conference on Communications (APCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APCC.2010.5679773\",\"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 16th Asia-Pacific Conference on Communications (APCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APCC.2010.5679773","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Degree distribution of XORed fountain codes: Theoretical derivation and analysis
In this work, we focus on the use of network coding in a wireless sensor network where data is already encoded at the source node with fountain codes, in particular LT or Raptor codes. These codes have a specific degree distribution to follow in order to obtain an efficient decoding process. However, adding a layer of network coding on such packets triggers a distorsion of the degree distribution. Consequently, the packet overhead needed for the decoding process can grow significantly.