{"title":"移动流媒体的动态自适应比特率选择算法研究","authors":"Taoshen Li, Zhihui Ge, Jichang Chen","doi":"10.12783/DTCSE/CCNT2020/35432","DOIUrl":null,"url":null,"abstract":"An energy-aware dynamic adaptive Bitrate selection algorithm (EDABS) was proposed to solve the problem of rate switching frequency and low energy utilization efficiency while receiving streaming media data. According to the monitored network bandwidth and streaming media coding rate, the algorithm adaptively adjusted the lower limit threshold of the terminal cache area, so that the size of the cache space was more fit the current bandwidth and streaming media coding rate. And then, it set a dynamic security boundary and response delay factor, and adaptively selected the next target video block's code rate. The experimental results show that proposed algorithm can better reduce rate switching frequency and improve the utilization efficiency of the energy.","PeriodicalId":11066,"journal":{"name":"DEStech Transactions on Computer Science and Engineering","volume":"81 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Study on Dynamic Adaptive Bitrate Selection Algorithm for Mobile Streaming Media\",\"authors\":\"Taoshen Li, Zhihui Ge, Jichang Chen\",\"doi\":\"10.12783/DTCSE/CCNT2020/35432\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An energy-aware dynamic adaptive Bitrate selection algorithm (EDABS) was proposed to solve the problem of rate switching frequency and low energy utilization efficiency while receiving streaming media data. According to the monitored network bandwidth and streaming media coding rate, the algorithm adaptively adjusted the lower limit threshold of the terminal cache area, so that the size of the cache space was more fit the current bandwidth and streaming media coding rate. And then, it set a dynamic security boundary and response delay factor, and adaptively selected the next target video block's code rate. The experimental results show that proposed algorithm can better reduce rate switching frequency and improve the utilization efficiency of the energy.\",\"PeriodicalId\":11066,\"journal\":{\"name\":\"DEStech Transactions on Computer Science and Engineering\",\"volume\":\"81 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-03-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"DEStech Transactions on Computer Science and Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.12783/DTCSE/CCNT2020/35432\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"DEStech Transactions on Computer Science and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12783/DTCSE/CCNT2020/35432","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Study on Dynamic Adaptive Bitrate Selection Algorithm for Mobile Streaming Media
An energy-aware dynamic adaptive Bitrate selection algorithm (EDABS) was proposed to solve the problem of rate switching frequency and low energy utilization efficiency while receiving streaming media data. According to the monitored network bandwidth and streaming media coding rate, the algorithm adaptively adjusted the lower limit threshold of the terminal cache area, so that the size of the cache space was more fit the current bandwidth and streaming media coding rate. And then, it set a dynamic security boundary and response delay factor, and adaptively selected the next target video block's code rate. The experimental results show that proposed algorithm can better reduce rate switching frequency and improve the utilization efficiency of the energy.