一种基于反馈的流媒体拥塞控制算法的改进.docx

一种基于反馈的流媒体拥塞控制算法的改进
摘要：
流媒体服务的广泛应用提高了用户对实时影音的需求，然而流媒体传输中的拥塞控制成为了实现高质量用户体验的关键因素。本文对基于反馈的流媒体拥塞控制算法进行了改进，提出了一种新的算法，可以提高流媒体传输的效率和稳定性。具体地，我们通过对反馈信息的理解和分析，采用了一种自适应控制策略和测量数据平滑算法，从而实现了更加准确和实时的拥塞控制，有效地降低了网络拥塞和延迟，提高了用户体验。
关键词：流媒体；拥塞控制；反馈；自适应控制；测量数据平滑算法
Introduction:
Withthewidespreadapplicationofstreamingmediaservices,users'demandforreal-timevideoandaudiohasincreasedsignificantly.However,congestioncontrolinstreamingmediatransmissionhasbecomeakeyfactorinachievinghigh-qualityuserexperience.Traditionalcongestioncontrolalgorithmsbasedonfeedback,suchasTCP-basedcongestioncontrolandRateAdaption(RA)algorithms,failtoadaptwelltostreamingmediaservicesandmaycausepoorqualityorevenservicefailures.Therefore,itisnecessarytodevelopeffectivecongestioncontrolalgorithmsspecifictostreamingmediaapplications.
Inthispaper,weproposeanimprovedcongestioncontrolalgorithmbasedonfeedbackforstreamingmediaservices.Thefeedbackinformationisanalyzedandadaptivecontrolstrategiesandmeasurementdatasmoothingalgorithmsareappliedtoachievemoreaccurateandreal-timecongestioncontrol,reducenetworkcongestionandlatency,andimproveuserexperience.
Background:
Streamingmediaservicesrelyonreliabletransportprotocolsthatcanadjustthebitrateofthestreamaccordingtothenetworkconditionstoavoidcongestionandpacketloss.TheconventionalTCPprotocolwasoriginallydesignedfordatacommunicationwithwirednetworks,anditsfeedback-basedcongestioncontrolalgorithmisnotwellsuitedforstreamingmediaapplicationsasitmayresultinslowstartuptime,lowthroughput,andlong-standingjitter.Therefore,manystreamingmediaservicesadoptdifferentcongestioncontrolalgorithms.
OneofthemostwidelyusedalgorithmsforstreamingmediaservicesistheRateAdaptation(RA)algorithm.Thisalgorithmadjuststhebitrateofthevideobeingtransmittedbyincreasingordecreasingthesendingratetomatchtheavailablenetworkbandwidth.However,theRAalgorithmdoesnottakeintoconsiderationtheimpactofthemediaencodingformat,andcaneasilyleadtobufferunderrunsorsurpluses,whichcandegradeusers'experience.
OurImprovedFeedback-BasedConge