{"title":"Binomial Probability Redundancy Strategy for Multimedia Transmission","authors":"Lizhuo Zhang, W. Jia, Shifei Zhou","doi":"10.1109/NAS.2010.45","DOIUrl":null,"url":null,"abstract":"This paper proposes a Binomial Probability Redundancy Model (BPRM). This model is based on the Forward Error Correction (FEC) Reed-Solomon Coding Technique and the Interweaving Packet Loss Recovery Technique. It calculates the number of redundant packets according to the feedback from the receiver and dynamically generates these superfluous packets. Different from the Linear Probability Redundancy Model (LPRM) proposed by McKinley et al., we adopt the interweaving technique to transmit these redundant packets. We also present a bandwidth control strategy to improve quality of video data. The experimental result shows that BPRM is able to generate enough redundant packets even under congestive network condition. These packets ensure the receiver to restore the original data and achieve a better video quality compared with LPRM.","PeriodicalId":284549,"journal":{"name":"2010 IEEE Fifth International Conference on Networking, Architecture, and Storage","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE Fifth International Conference on Networking, Architecture, and Storage","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NAS.2010.45","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper proposes a Binomial Probability Redundancy Model (BPRM). This model is based on the Forward Error Correction (FEC) Reed-Solomon Coding Technique and the Interweaving Packet Loss Recovery Technique. It calculates the number of redundant packets according to the feedback from the receiver and dynamically generates these superfluous packets. Different from the Linear Probability Redundancy Model (LPRM) proposed by McKinley et al., we adopt the interweaving technique to transmit these redundant packets. We also present a bandwidth control strategy to improve quality of video data. The experimental result shows that BPRM is able to generate enough redundant packets even under congestive network condition. These packets ensure the receiver to restore the original data and achieve a better video quality compared with LPRM.