WMN中基于概率訪問的EDCA流量平衡方案

WMN中基于概率訪問的EDCA流量平衡方案Withtheincreaseinthenumberofwirelessdevicesconnectedtotheinternetandtheexpansionofwirelessnetworks,thedemandforefficientandreliablewirelesscommunicationhasbecomehighlyimportant.Amongthedifferenttechniquesusedinwirelesscommunication,theEnhancedDistributedChannelAccess(EDCA)protocolhasbeenwidelyusedduetoitsimprovedperformanceintermsofQualityofService(QoS)andthroughput.However,EDCAhasitslimitationswithrespecttounbalancedtrafficdistributionandthelowerpriorityassignedtocertaintypesofdata.Hence,inthispaper,weproposeaprobability-basedaccessbalancingschemeforEDCAtoachieveabalanceddistributionoftrafficandprovideefficientdatatransmission.Inwirelessnetworks,theEDCAprotocolassignsdifferentprioritylevelstothetrafficbasedonitsrequirements.TheavailableaccesscategoriesinEDCAarevoice,video,besteffort,andbackground.Thepriorityisdividedintofourlevelsforeachcategory,withlevelfourbeingthehighestpriority.InthecurrentEDCAprotocol,theprioritylevelofeachaccesscategoryisstaticallyassigned.Thisstaticassignationcausesaproblemforunbalancedtrafficdistribution,whichiscommoninwirelessnetworks.Asaresult,someaccesscategoriesmaysufferfrominsufficienttransmissionopportunities,whileothersmaycauseunfairnessintransmission.Toaddressthisissue,weproposeaprobability-basedaccessbalancingschemeforEDCA,whichaimstoachieveabalanceddistributionoftrafficbydynamicallyadjustingtheprioritylevelsofaccesscategoriesbasedontheirprobabilityoftransmission.Ourproposedapproachinvolvesthefollowingsteps:Step1:GatheringTrafficInformationOurproposedmechanismfirstgathersinformationaboutthetrafficdemandsofeachaccesscategory.Thisincludesthenumberofpacketsinthetransmissionqueue,thepacketsize,andtheexpectedtransmissiontime.Step2:CalculatingProbabilityofTransmissionBasedonthetrafficinformationcollectedinstep1,wecalculatetheprobabilityoftransmissionforeachaccesscategory.Theprobabilityiscalculatedbasedontheratioofthetotaltransmissiontimeofeachaccesscategorytothetotaltransmissiontimeofalltheaccesscategoriescombined.Step3:AdjustingPriorityLevelsInthisstep,wedynamicallyadjusttheprioritylevelsofaccesscategoriesbasedontheirprobabilityoftransmission.Theaccesscategorywiththehighestprobabilityoftransmissionwillbeassignedthehighestprioritylevel,andtheremainingcategories'prioritylevelswillbeadjustedaccordingly.Theaccesscategories'prioritylevelswillbeupdatedperiodicallybasedontheirprobabilityoftransmission.Step4:MonitoringPerformanceOurproposedmechanismcontinuouslymonitorsthenetwork'sperformance,includingthroughput,delay,andfairness.Ifthenetwork'sperformancedeteriorates,theprioritylevelsofaccesscategorieswillberecalculatedandadjustedaccordingly.Basedontheabovemechanism,ourproposedprobability-basedaccessbalancingschemeforEDCAprovidesthefollowingbenefits:1.ImprovedTrafficBalanceTheproposedapproachbalancesthetrafficbydynamicallyadjustingtheprioritylevelsofaccesscategoriesbasedontheirprobabilityoftransmission,resultinginamorebalanceddistributionoftraffic.2.EnhancedQualityofServiceByprovidingmoretransmissionopportunitiestoaccesscategorieswithhightrafficdemands,theproposedschemeimprovesthenetwork'sQoSandreducespacketlossanddelay.3.HigherNetworkEfficiencyTheproposedschemeoptimizestheuseofnetworkresourcesbydynamicallyadjustingtheprioritylevelsofaccesscategories.Thisresultsintheefficientutilizationoftheavailablebandwidthandimprovesthenetwork'sperformance.Inconclusion,theproposedprobability-basedaccessbalancingschemeforEDCAisaneffectivesolutionforimprovingtheunbalancedtrafficdistributioninwirelessnetworks.Itisbeneficialinachievingabalanceddistributionoftraffic,enhancingtheQoS,andimprovingthenetwork'sefficiency.Theapproachcanbeimplementedinvariouswirelessnetworks,including