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基于动态定价的帧聚合策略(英文).docx

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基于动态定价的帧聚合策略(英文) Title:DynamicPricing-BasedFrameAggregationStrategy Abstract: Withtheincreasingdemandforhigh-speeddatatransmissioninwirelessnetworks,frameaggregationhasbecomeaneffectivemethodtoimprovenetworkperformanceandreducelatency.However,existingframeaggregationprotocolsoftenuseafixedaggregationsizeanddonotconsiderdynamicnetworkconditions.Inthispaper,weproposeadynamicpricing-basedframeaggregationstrategytooptimizetheuseofnetworkresourcesandimproveoverallnetworkperformance.Byadaptingtheaggregationsizebasedonthecurrentnetworkconditions,theproposedstrategycanimprovenetworkthroughputandreducecongestion.Weevaluatetheperformanceoftheproposedstrategythroughsimulatedexperiments,andtheresultsshowthattheproposedstrategycanachievebetterperformancecomparedtoexistingframeaggregationprotocols. Introduction: Wirelessnetworksarebecomingincreasinglypopularwiththeproliferationofmobiledevicesandthegrowingdemandforhigh-speeddatatransmission.However,wirelessnetworksaresubjecttointerferenceandfading,leadingtodecreasedsignalqualityandincreasedlatency.Frameaggregationhasbecomeaneffectivemethodtomitigatethisproblembybundlingmultiplesmallerframesintoasinglelargerframe. Existingframeaggregationprotocols,suchastheIEEE802.11nstandard,typicallyuseafixedaggregationsize.However,thisapproachdoesnotconsiderthedynamicnatureofnetworktrafficandcanleadtosuboptimalperformance.Toaddressthisproblem,weproposeadynamicpricing-basedframeaggregationstrategythatadaptstheaggregationsizebasedonthecurrentnetworkconditions. RelatedWork: Frameaggregationhasbeenwidelystudiedintheliterature.TheIEEE802.11nstandardusesafixedaggregationsize,whileotherprotocols,suchastheAggregatedMACProtocol(AMP),useadaptiveaggregationsizes.However,theseprotocolsdonottakeintoaccountthedynamicnatureofnetworkconditions. Dynamicpricing-basedresourceallocationhasbeenstudiedinthecontextofcloudcomputingandwirelessnetworks.Forexample,theauthorsin[1]proposedadynamicpricing-basedresourceallocationstrategyforcloudcomputing,whiletheauthorsin[2]p