命名数据网络中的邻居缓存路由策略

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1、ISSN1673-9418CODENJKYTA8E-mail:fcst@vip.163.comJournalofFrontiersofComputerScienceandTechnologyhttpğ//www.ceaj.org1673-9418/2012/06(07)-0593-09Tel:+86-10-51616056DOI:10.3778/j.issn.1673-9418.2012.07.003*ଁ଀ඔऌຩ઎ᇏਣंߏթਫ਼ႮҦ੻+ွ೎ളđྷૼ຿޿ն࿐࠹ෘࠏ॓࿐ა࠯ඌ༢đКࣘ100084∗NeighborCacheExploreRoutingStrategyinNamedDat

2、aNetwork+YERunsheng,XUMingweiDepartmentofComputerScienceandTechnology,TsinghuaUniversity,Beijing100084,China+Correspondingauthor:E-mail:heysnur@gmail.comYERunsheng,XUMingwei.Neighborcacheexploreroutingstrategyinnameddatanetwork.JournalofFrontiersofComputerScienceandTechnology,2012,6(7)ğ593-60

3、1.Abstract:Nameddatanetwork(NDN)isanovelnetworkarchitecturecenteredoncontentdata.ExistingroutingstrategiesinNDNareinefficientduetoneglectingthecacheinformationinNDNnodes.Thispaperproposesaneighborcacheexplorerouting(NCE)strategytofullyusethecacheinformationintheNDNroutingstrategymaking,anddes

4、ignsthecorrespondingpacketformatandroutingalgorithm.ThesimulationresultsshowthatNCEstrategydecreasestheredundanttrafficswhileimprovingthenetworkperformance,theeffectivenessofNCEstrategyisprovedduringthesimulation.Keywords:nameddatanetwork(NDN);routingstrategy;neighborcacheexploreroutingstrate

5、gyᅋေğଁ଀ඔऌຩ઎čnameddatanetworkđNDNĎ൞၂ᇕၛඔऌູᇏྏྍ྘ຩ઎ุ༢ࢲܒbགྷႵNDNຩ઎ਫ਼ႮҦ੻ໃିԉٳ০Ⴈਫ਼Ⴎࢲߏթᇁሇིੱ҂ۚbູਔᄝਫ਼ႮथҦᇏԉٳ০ႨNDNຩ઎ᇏߏթđิԛਔ၂ᇕਣंߏթਫ਼ႮčneighborcacheexploreroutingđNCEĎҦ੻đࡼਫ਼Ⴎࢲߏթၹ෍ႄೆਫ਼ႮथҦᇏđѩഡ࠹ਔཌྷႋБ໓۬ൔࠣਫ਼Ⴎ࿊ᄴෘمbଆ୅ൌဒࢲݔіૼđਣंߏթਫ਼ႮҦ੻ᄝࡨഒຩ઎಺Ⴥੀਈ๝ൈิۚਔᆜุຩ઎ྟିđဒᆣਔNCEҦ੻ᄝNDNຩ઎ᇏႵིྟbܱ࡯Սğଁ଀ඔऌຩ઎čNDNĎĠਫ਼ႮҦ੻Ġਣंߏթਫ਼ႮҦ੻໓ངѓ്઒ğAᇏ๭োٳğTP393*TheNati

6、onalNaturalScienceFoundationofChinaunderGrantNo.61133015(ݓࡅሱಖ॓࿐ࠎࣁ);theNationalGrandBasicResearch973ProgramofChinaunderGrantNo.2012CB315803(ݓࡅᇗࠎԤ࿹࣮ᅚܿ߃(973));theNationalHigh-TechResearchandDevelopmentPlanofChinaunderGrantNo.2011AA01A101(ݓࡅۚ࠯ඌ࿹࣮ᅚ࠹߃(863));theNationalKeyTechnologyR&DProgramofChina

7、underGrantNo.2011BAH19B01(ݓࡅ॓࠯ᆦӪ࠹߃).Received2012-02,Accepted2012-04.594JournalofFrontiersofComputerScienceandTechnology࠹ෘࠏ॓࿐აฐ෬2012,6(7)1ႄ࿽іਫ਼Ⴎఖ൬Б໓၂۱ࢤ१ĎđCSЌթਫ਼Ⴎࢲෛሢ޺৳ຩᅚđದૌؓඔऌଽಸЧദླ౰ߏթଽಸđPIT࠺੣ໃཙႋInterestБ໓଀ሳᄀটᄀ఼ਛbᄝᆃᇕМࣟ༯đԮ๤ၛᇶࠏູᇏྏྐ༏ࠣఃղfaceđၛьDataБ໓ခ