{"title":"估计异构中断链路上的消息传输时间","authors":"Philip Ginzboorg, Valtteri Niemi, J. Ott","doi":"10.1109/SPAWC.2018.8446038","DOIUrl":null,"url":null,"abstract":"We consider fragmented message transmission through a heterogeneous chain of several independently disrupted communication links. The message is prepared for fragmentation before transmission by dividing it into blocks of constant size. In this setting, we derive an approximation for the mean and standard deviation of fragmented message transmission time when one of the links in the heterogeneous chain is much slower than the rest.","PeriodicalId":240036,"journal":{"name":"2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Estimating Message Transmission Time Over Heterogeneous Disrupted Links\",\"authors\":\"Philip Ginzboorg, Valtteri Niemi, J. Ott\",\"doi\":\"10.1109/SPAWC.2018.8446038\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We consider fragmented message transmission through a heterogeneous chain of several independently disrupted communication links. The message is prepared for fragmentation before transmission by dividing it into blocks of constant size. In this setting, we derive an approximation for the mean and standard deviation of fragmented message transmission time when one of the links in the heterogeneous chain is much slower than the rest.\",\"PeriodicalId\":240036,\"journal\":{\"name\":\"2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)\",\"volume\":\"41 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SPAWC.2018.8446038\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPAWC.2018.8446038","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Estimating Message Transmission Time Over Heterogeneous Disrupted Links
We consider fragmented message transmission through a heterogeneous chain of several independently disrupted communication links. The message is prepared for fragmentation before transmission by dividing it into blocks of constant size. In this setting, we derive an approximation for the mean and standard deviation of fragmented message transmission time when one of the links in the heterogeneous chain is much slower than the rest.
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