无线区域网路中自我相似交通流量之

無線區域網路中自我相似交通流量之成因與效能評估Theoriginandperformanceimpactofself-similartrafficforwirelesslocalareanetworks,報告者：林文祺指導教授：柯開維博士,Outline,BackgroundofSelf-SimilarityPropertiesofWLANTrafficEstimationofSelf-SimilarTrafficTheOriginofSelf-SimilarityinWLANImpactofSelf-SimilartoCSMA/CAperformanceImpactofSelf-SimilartoCSMA/CAperformancewithRTS/CTS,BackgroundofSelf-Similarity(1/8),Self-SimilarityandFractal,BackgroundofSelf-Similarity(2/8),StatisticsofSelf-SimilarityDefinitionofSelf-SimilarStochasticProcess:,H:Hurstparameterorself-similarityparameter,BackgroundofSelf-Similarity(3/8),Self-SimilarityofStatisticsDefinitionofSelf-SimilarStochasticSequence:,Ex.,BackgroundofSelf-Similarity(4/8),PropertiesofSelf-SimilarityLongrangedependenceSlowlydecayingvarianceHeavy-taileddistribution,BackgroundofSelf-Similarity(5/8),Self-SimilarTraffic,BackgroundofSelf-Similarity(6/8),X(t)isaParetodistributionrandomprocesswithshapeparameterandlocationparameterk.,ParetoDistribution:,BackgroundofSelf-Similarity(7/8),Variance-timePlot,R/SPlot,BackgroundofSelf-Similarity(8/8),PropertiesofWLANTraffic(1/2),WLANtraffic,TimeUnit=1Sec,TimeUnit=0.1Sec,TimeUnit=0.01Sec,Basic:1SAggregation:1,0.1,0.01SecEnvironment:7NB,Poissontraffic,PropertiesofRealNetwork(2/2),TimeUnit=0.01Sec,TimeUnit=0.1Sec,TimeUnit=1Sec,EstimationofSelf-SimilarTraffic(1/2),PacketsSequenceonWLAN,EstimationofSelf-SimilarTraffic(2/2),VariancePlot&R/SPlot,SingleSourcewithoutCSMA/CA,TheOriginofSelf-SimilarTraffic(1/3),TheOriginofSelf-SimilarTraffic(2/3),VariancePlot&R/SPlot,TheOriginofSelf-SimilarTraffic(3/3),VariancePlot&R/SPlotforWLANbasedonsinglePoissonTraffic.(Simulated),ImpactofSelf-SimilartoCSMA/CAperformance(1/7),MaximumthroughputTheinfluenceofnodesonSelf-SimilarTrafficandPoissonTrafficTheinfluenceofpacketlengthonSelf-SimilarTrafficandPoissonTraffic,ImpactofSelf-SimilartoCSMA/CAperformance(2/7),Maximumthroughput,ImpactofSelf-SimilartoCSMA/CAperformance(3/7),Maximumthroughput,ImpactofSelf-SimilartoCSMA/CAperformance(4/7),TheinfluenceofnodesonSelf-SimilarTrafficandPoissonTraffic,ImpactofSelf-SimilartoCSMA/CAperformance(5/7),TheinfluenceofnodesonSelf-SimilarTrafficandPoissonTraffic,ImpactofSelf-SimilartoCSMA/CAperformance(6/7),TheinfluenceofpacketlengthonSelf-SimilarTrafficandPoissonTraffic,ImpactofSelf-SimilartoCSMA/CAperformance(7/7),TheinfluenceofpacketlengthonSelf-SimilarTrafficandPoissionTraffic,MaximumthroughputTheinfluenceofnodesonSelf-SimilarTrafficandPoissonTrafficTheinfluenceofpacketlengthonSelf-SimilarTrafficandPoissonTraffic,ImpactofSelf-SimilartoCSMA/CAperformancewithRTS/CTS(1/4),ImpactofSelf-SimilartoCSMA/CAperformancewithRTS/CTS(2/4),Maximumthroughput,ImpactofSelf-SimilartoCSMA/CAperformancewithRTS/CTS(3/4),TheinfluenceofnodesonSelf-SimilarTrafficandPoissonTraffic,ImpactofSelf-SimilartoCSMA/CAperformancewithRTS/CTS(4/4),TheinfluenceofpacketlengthonSelf-SimilarTrafficandPoissonTraffic,Conclusion,WLANTrafficisSelf-Similarregular&Single)WLANThroughputatnode=5MaxWLANThroughputatnodeSSWLANThroughputatnode5PoissonSSImpactofPacketLengthRTS/CTSnotinfluencethecharacteristicofPoissonandSelf-Similarity,Thanksforyou