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ID:36349424
大小:3.68 MB
页数:123页
时间:2019-05-09
《互联网拥塞控制算法若干问题研究》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、东南大学博士学位论文互联网拥塞控制算法若干问题研究姓名:钱艳平申请学位级别:博士专业:控制理论与控制工程指导教师:李奇20051001东南大学博士学位论文可以描述当前一类基于优化理论的网络拥塞控制算法。同时,在考虑边界影响下,给出了系统唯一平衡点的存在条件,得到了一般网络结构下该模型在没有往返时延和存在往返时延两种情况下的稳定性条件。最后,通过一个TCP/E-RED示例验证了理论分析结果的正确性。关键词:互联网,网络拥塞控制,TCP协议,主动队列管理,稳定性,优化理论ⅡAbstractThedevelopmentofInternethasbeenencumberedwi
2、ththecongestionproblemcausedbytheunbalancedistributionofthenetworkresourcesandthenetworkflowssinceitsnaissance,Thenetworkcongestionbecomesmoreandmoreseriousbcc,aaMoftheincreasinglyexpansionofIntemet础andtherapidgrowthofappliedcategories.啊锵$UC,CfSSofInteracthasalreadyproventhatTCPcongestio
3、ncontrolmechanismbasedOnSourcenodesiseffectiveinthepreventionofcongestioncolhpse。whileitalsofacesmanynewcrises。Therefore,thenetworkitselfalsohastobeparticipatedincongestioncontr01.Currently,thecombinationofTCPcongestioncontrolmechanismbasedonSOllreenodesandcongestionavoidancemechanismbas
4、edonnetworknodeshasbecomesamainapproachtoresolvetheb咖letcongestioncontrolproblem.Therehasenllleintobeinganewinvestigationforsomecross-subjectsofcomputernetwork,communication,andautomaticcontrolandSOOn.btemetcongestioocontrolsystemCRObeseerasanonlineardynamicfcedb扯ksystemwithcommunication
5、delays.1MspaperemphasizedOndesignsofactivequeuemanagement(AQM)algorithmsinnetworknodesforIntemetcongestioncontrol,andstabilityanalysisofnetworkcongestioncontrolsystem.Themainresearchresultsare∞follows:(1)ArobustnonlinearAQMalgorithmisproposedtoresolvethetime-delaysandparameterstime-varyi
6、nginfluenceontheperformanceinmiddleOrsmall-scalenetwork,whichisbasedORafirst-ordertime-delayssystemwithparametricintervalunc斌aimyderivedfromfluid—flowmodel.Theregionofthenonlinearcontrollerparametersmakingtheclosed-loopsystemstableisascertainedandtheoptimalparametersofthecontrollerisobta
7、inedusinggeneticalgorithmwiththeimprovedintegratedtimeabsoluteerrorOTAE)。Theedgetheoremextendedtotime-delayssystemsisusedtodesignarobustnonlinearAQMalgorithm.Simulationresultsshowthecontrollerc姐achievefavorableperformancesandisrobustagainstparame砸cintervaluncertainties.(2
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