无线体域网技术研究_刘毅

JournalofChineseComputerSystems201388Vol．34No．820132012-03-142012-04-242009100CXZZ11_0575．1979、1959、、[e-mail]体域网技术是无线传感器网络研究的一个重要应用方向，在远程医疗、健康监护等领域有着广阔的应用前景，该技术的应用对解决看病难看病贵等问题和应对人口老龄化问题方面有着重要的实际意义．对体域网技术进行了详细的阐述，给出了体域网技术的概念和应用领域．然后，并根据现有的研究总结给出了一个面向医护领域的典型的体域网体系结构．从无线通信、介质访问控制、安全等几个体域网重点研究方向，讨论了当前体域网研究的热点．最后，给出总结并作出展望．MACTP391A1000-1220201308-1757-06StudyonWirelessBodyAreaNetworksLIUYiSONGYu-qingSchoolofComputerScienceandTelecommunicationEngineeringJiangsuUniversityZhenjiang212013ChinaAbstractBodyAreaNetworkstechnologyisanimportantapplicationsdirectionofwirelesssensornetworksithasbroadapplicationprospectsintelemedicinehealthcareandotherfields．ofthetechnologytosolveissuessuchasmedicaltreatmentisdifficultandex-pensiveandtheresponsetotheproblemofpopulationaginghasImportantpracticalsignificance．Thetechnologiesofbodyareanet-workareintroducedindetail．FirstlytechnologiestheconceptofBodyAreaNetworktechnologyandapplicationsarepresented．Thenbasedonexistingstudiesasummaryofthehealthcarefieldforatypicalbodyareanetworkarchitectureisgiven．Afterthatfromwirelesscommunicationmediaaccesscontrolsecuritythecurrentresearchissuesarediscussed．Finallyitputforwardtheconclusionandtheprospects．KeywordsbodyareanetworkstelemedicinearchitectureMACprotocalsecurityandprivacy1、、．．—．．、、．．．．．2．．BANBodyAreaNetworksBSNBodySensorNetworks．BANBSN1．2BAN．BANsBSNBANBSN．BANVanDam20013VanDamBAN、、．2007IEEE802．15．6BANBAN、、7．11CommonsensorsanditspositioninbodysensornetworksWBANBodyAreaNetworks、、．1．3、、．2．2Fig．2ApplicationsofBAN·医疗及保健．．、、．56EEGECG、．7-9．10UWB．．．、．1112．13．·体育和军事训练．．14．1516．17．·其他应用领域．、、．．．．4．18-213．．EEG、ECG、Sinknetworkcoordinator1921．PersonalServer22Sink85712013．GSM/GPＲS/3GAPWIFI．．．3Fig．3ArchitectureofBANSink．．PDASinkSink．Sink．．MITHrill23SMAＲT24BAN192526．．star-mesh27．28multihopmultihop．55．1．、、MEMS1．．．、、、2527．1Table1CommonsensorsanditsapplicationsECGsensorEMGsensorEEGsensorBloodpressureBloodGlucose．TemperatureAccelerometer/Gyroscope、．、、4．29．TIMSP430BSNTelos30、Tmotesky31．4Fig．4Atypicalhardwareblockdiagramofnode．Tiny-OS32．Telos30、Tmotesky31、iMote33、BANnode20．5．2．BCCbody-coupledcommunication2995718．34．35．．Bluetooth36、IEEE802．1．4Zigbee37ANT38、Zarlink39．Zigbee、、40-44．UWBultra-wideband、、、45-47．IEEE2007802．15．648．5．3MACMAC、、．MACMAC．MACMAC．MACMAC．、49．2MACTable2MACprotocolsforbodysensornetworksContention-BasedMACSchedule-BasedMACHybirdMACCross-layerMACY-SSeoetal201049H-MAC200750IEEE802．15．4200651CICADA200852PNP-MAC201053BodyMAC200954BSN-MAC200555BioComm200956—SJMarinkov-icetal200957—BOtaletal．200958—KAshrafuzza-manetal201059—HSuXZhang200960MAC．MAC/、．2MAC．H-MACMACMAC61．MACMAC62．5．4．．．63．．64651)数据的机密性，2)数据的可鉴别性，3)数据的完整性，4)数据的新鲜度，．6667686952．、．5．5数据融合，、情景感知，．、6、、、．、、、．．、QoS．．Ｒeferences1LatréBBraemBMoermanIetal．Asurveyonwirelessbodyarea06712013networksJ．WirelessNetworks20111711-18．2PoonCZhangYT．Anovelbiometricsmethodtosecurewirelessbodyareasensornetworksfortelemedicineandm-healthJ．Com-municationsMagazineIEEE200644473-81．3KvanDamPitchersSetal．FromPANtoBANwhybodyareanetworksC．InProceedingsoftheWirelessWorldＲesearchFo-rumWWＲFSecondMeetingHelsinkiFinland200110-11．4IEEE．IEEE802．15taskgroup6EB/OL．http//．ieee802．org/15/pub/TG6．html2007．5ChiYMCauwenberghsG．Wirelessnon-contactEEG/ECGelec-trodesforbodysensornetworksC．2010InternationalConfer-cenceonBSNUSA2010297-301．6SapioATsouriGＲ．Low-powerbodysensornetworkforwirelessECGbasedonrelayingofcreepingwavesat2．4GHzC．2010In-ternationalConferenceonBSNUSA2010167-173．7HoCEvansJMarkJetal．Technologiesforanautonomouswire-lesshomehealthcaresystemC．WearableandImplantableBodySensorNetworksBSN2009SixthInternationalWorkshopon200929-34．8BakerCArmijoKBelkaSetal．WirelesssensornetworksforhomehealthcareC．Proceedingsofthe21stInternationalConfer-enceonAdvancedInformationNetworkingandApplicationsWork-shopsNiagaraFallsOntarioWashingtonIEEEComputerSociety2007832-837．9SinghDTiwaryUSWan-youngCetal．IP-basedubiquitoushealthcaresystemD．DepartmentofUbiquitousITDongseoUniv．Busan2008131-136．10BlumrosenGUzielMＲubinskyBetal．Tremoracquisitionsys-tembasedonUWBwirelesssensornetworkC．BodySensorNet-worksBSNInternationalConferenceon2010187-193．11ThiemjarusS．Adevice-orientationindependentmethodforactivityrecognitionC．BodySensorNetworksBSNInternationalCon-ferenceon201019-23．12ZhelongWMingJHongyuZetal．Apilotstudyonevaluatingrecoveryofthepost-operativebasedonaccelerationandsEMGC．BodySensorNetworksBSNInternationalConferenceon20103-8．13KingＲCAtallahLWongCetal．ElderlyriskassessmentoffallswithBSNC．BodySensorNetworksBSNInternationalCon-ferenceon201030-35．14KingＲCMcLlwraithDGLoBetal．BodysensornetworksformonitoringrowingtechniqueC．WearableandImplantableBodySensorNetworksBSN2009SixthInternationalWorkshopon2009251-255．15BurchfieldＲVenkatesanS．Aframeworkforgolftrainingusinglow-costinertialsensorsC．BodySensorNetworksBSN2010InternationalConferenceon2010267-272．16ConnaghanDHughesSMayGetal．AsensingplatformforphysiologicalandcontextualfeedbacktotennisathletesC．WearableandImplantableBodySensorNetworksBSN2009SixthInternationalWorkshopon2009224-229．17HockBengL