基于滑动窗口的随机线性网络编码分析

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1、札I．L壬■上c二曲毛孵宁1；孽，。抽壬寻t，i牛苫汪{掣罐垂章重疆{{■虮t^咏+善}抽壬舟{张耀蚌群礴徒弹潞啡1薄莲忡●●Lf啤瓠“*E融衿__lr■上■晴31，．州罐瀵H．“审潼囊珏辩群摇巍伸∥“1J4泞■谨了哼H江慵僖哩呵0憩】_■_1ABSTRACTThisPaperfirstdescribedtheresearchofnetworkcoding，andareviewwasgivenaboutthecalssficationandanalysisofclassicpraticalnetworkcoding．Batch—basedra

2、ndomIinearnetworkcoding(BBRLNC、carlimprovenetworkthroughputinthewirelessnetwork．butithastheextremelychallengetodecidetheOptimaltimetomovetothetransmissionofthenextbatch．Toimprovenetworkthroughputadvancely,Slidingwindow—basedrandomlinearnetworkcoding(SW_RLNC)wasproposedYetth

3、ereiSnotanyresearchabouttheaffectofslidingwindowsizeandstepsizetothenetworkperformancesuchasthroughputanddecodedelay．WeobservedthatbecauseofSWRLNCalwaysaddneworiginalpacketsitwillcauseaseriesoforiginalpacketsCan’timmediatelydecoded，whichcausethepacketsthatreceivenodeneedtoc

4、acheincreaseandthedecodematrixanddecodedcomplexincrease．ThispaperanalysisthethroughputandpacketdecodedelayofSWRLNCandBBRLNCinlossyandlossy—freenetworkenvironmentAndtheresultsshowthatwhentheparameterswasselectedproperly,thethroughputandpacketdecodedelayCangetbetterperformanc

5、ethanBBRLNCTherelationshipofnetworkperformanceandSWRLNCparameterswillgivenwhenthethourghputanddecodedelaywasoptimalandthesimulationresultsvalidatedthetheoreticanalysis．TovalidatetheperfornqanceofSWRLNCwhenconsideringtheaffectofdi行erent1ayer,weimplementBBRLNCandSWRLNCmNsclic

6、ksimulatorandgettheperformanceofthemTheresultsshowthatSWRLNCmaynotOUtoerformancethanBBRLNCasthoriticaIresults．TovalidatetheaffectofACK．wecomparedtwokindsofACKfeedbackmannerandthesimulationresultsshowsthatSWRLNCexistseriousACKanddatapacketcollicionandthetransmissionoftheACKp

7、acketwillreduceSW_RLNCthroughput．SowhenapplicatingSWRLNCtorealnetworkapplication，wecan’tsimplyconsidertheaffectofroutinglayer,butalsotheaffectofotherlayerneedtoconconside．Theresearchresulthasagoodreferencevalueforpraeiticallyapplicatingnetworkcoding．KEYWORDS：SW_RLNC，sliding

8、windowsize，stepsize，BBRLNC，decodedlink目录摘要⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯IABSTRACT⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯