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- fiche de synthèse - matière potentielle : articles
- collaborative view of learning5
- technical research scientists
- practitioner model
- scholar
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INTERNATIONALCONFERENCEONWIRELESSTECHNOLOGIESFORHUMANITARIANRELIEF–ACWR2011T.1.1:WirelessCellularNetworksTutorialSpeaker:Dr.NagabhushanaSindhushayana,VicePresidentofTechnology,Qualcomm,USATitle:HeterogeneityandMulti‐cellCooperationinWirelessCellularNetworksDate:18.12.2011
Abstract:Theperformanceofmosturbancellularnetworksislimitedbyinter‐cellinterference.Thisisparticularlytrueofacellularnetworkwithheterogeneousinfrastructure,whereinthesamespectrumissharedbydifferenttypesofbase‐stationssuchasmacro‐cells,pico‐cells,femto‐cellsandrelays.Performanceofsuchdense/heterogeneousdeploymentsmaybegreatlyenhancedthroughtheuseofsmartassociationtechniques,coupledwithadaptiveinterferencemanagement.Unliketraditionalcellularsystemswhereassociationispredominantlybasedonmaximizingsignalqualitybetweenthebase‐stationandtheuser,asmartassociationschemeinaheterogeneousnetworkshouldbebasedonseveraladditionalcriteriasuchasaggressiveload‐balancing,path‐lossminimization,orminimizationofinterferencetootherlinks.Aggressiveload‐balancing(inparticular)requiresadvancedinterferencemanagement,whichcanmayberealizedthrough(soft)resourcepartitioning,beam‐coordinationorjointsignalprocessingatthebase‐stations.Multi‐cellsignalprocessing(ordistributedMIMO)canbeusedinhomogeneousnetworksaswell,inordertomitigateinter‐cellinterferencewithoutcompromisingdegreesoffreedomassociatedwiththetransmitsignals.Inthistutorial,wedemonstratehowthesetechniquesmaybeincorporatedintothedesignofacellularsystem,andtheperformancegainsresultingfromsuchasystemdesign.
T.1.2:SensorNetworksTutorialSpeaker:Dr.IanAkhilidz,Editor‐in‐Chief,AdHocNetworks,ElsevierTitle:WirelessSensorNetworksinchallengedenvironmentssuchasunderwaterandunderground
Date:18.12.2011Abstract:Oceanographicdatacollection,pollutionmonitoring,offshoreexploration,disasterprevention,assistednavigationandtacticalsurveillancearetypicalapplicationsforwirelessunderwatersensornetworks.Inthistalkwirelessunderwaterchannelisexplored,novelmediumaccesscontrolandroutingprotocolswillbepresented.Ontheotherhand,sensorapplicationsinsoilmediaandtunnelshaveuniquecommunicationproblems.Inparticular,thewirelesschannelpecularitiesintheundergroundmakecommunicationproblemsinterestingwhichwillbediscussedinthistutorial.Futureresearchchallengeswillbehighlightedinbothareas.
T.2.1:WirelessSensorNetworksTutorialSpeaker:Dr.RameshGovindan,Editor‐in‐ChiefIEEETransactionsonMobileComputing,ProfessorinComputerScience&ElectricalEngineering,UniversityofSouthernCalifornia,USATitle:WirelessSensorNetworks:ASystemsPerspectiveDate:18.12.2011
Abstract:Thistutorialwillcoveradecade'sworthofresearchinsensornetworktechnologiesandapplications,withafocusonsystemsissues.
T.2.2:WirelessDistributedSystemsTutorialSpeaker:Dr.MaartenvanSteen,Chair&ProfessorDept.ofInformatics,ExtremeDistributedSystem,VU,Amsterdam,NetherlandsTitle:ExploringExtremeWirelessDistributedSystems
Date:18.12.2011
Abstract:Moderndistributedsystemsareincreasinglyrelyingoncomponentsthatneedtomakeuseofwirelesstechnology.Examplesincludesubsystemsimplementedaswirelesssensornetworksorsubsystemsmakinguseofmobilecomputingplatforms.Inthistutorial,we'llbelookingcloserintowireless‐onlydistributedsystemsthatareextremeinoneorseveralofthefollowingdimensions:theirsizeintermsofthenumberofnodes,theresourcelimitationsofthosenodes(memory,computepower,energybudget),ortheharshnessoftheirenvironment(lossychannels,mobility).Inparticular,we'llbediscussingissuesrelatedtoturningsuchextremedistributedsystemsintorobustones,addressingquestionslike:howtosetupandmaintainingroutingpaths,howtoreliablydisseminateinformation,andhowtorealizeverylargeultra‐lowduty‐cyclednetworks.Inthemeantime,wedrawexamplesfromsystemsthatareaimedatdirectlysupportinghumanbeings.
T.3.1:ContextAwareSystemsTutorialSpeaker:Dr.AshokAgrawala,ProfessorofComputerScience,Director,TheMINDLabandTheMAXWellLab,UniversityofMaryland,USATitle:Context‐Aware,Event‐DrivenSystems
Date:18.12.2011
Abstract:Itiswellrecognizedthatcontextplaysasignificantroleinallhumanendeavors.Alldecisionsarebasedoninformationwhichhastobeinterpretedincontext.Bymakingtheinformationsystemscontext‐ awarewecanhavesystemsthatsignificantlyimprovethehumancapabilitiestohandlesituations.Further,mostofthetime,wereacttoeventsthattakeplace.Weorganizeactivities,andgather
informationandresources,inresponseandhandletheeventinthecontextinwhichittakesplace.Thechallengecomesupwhenwedesignsystemsthatsupportourabilitiestohandleevents,anticipatedaswellasunanticipated.
InthistutorialbediscussthecurrentstateoftheartforContext‐awareSystems,Event‐drivenSystemsandpresentsomeideastowardsthedesignandimplementationofContext‐aware,Event‐drivenSystems.SomeexamplesofthesystemsbeingdevelopedanddeployedattheUniversityofMarylandwillalsobepresented.
T.3.2:NetworkedSensorSystemsTutorialSpeaker:Dr.SajalK.Das,Director,CenterforResearchinWirelessMobilityandNetworking(CReWMaN),DepartmentofComputerScienceandEngineering,UniversityTexasatArlington,USATitle:Cyber‐PhysicalandNetworkedSensorSystems:ChallengesandOpportunities
Date:18.12.2011
Abstract:Rapidadvancementsinembeddedsystems,sensorsandwirelesscommunicationtechnologieshaveledtothedevelopmentofcyber‐physicalsystems,pervasivecomputingandsmartenvironmentswithimportantapplicationssuchassmartgrids,sustainability,healthcareandsecurity.Wirelesssensornetworksplaysignificantroleinbuildingsuchsystemsastheycaneffectivelyactasthehuman‐physicalinterfacewiththedigitalworldthroughsensing,communication,computingandcontroloractuation.However,theinherentcharacteristicsofwirelesssensornetworks,typifiedbyresourceconstraints,highdegreeofuncertainty,heterogeneityanddistributedcontrolposesignificantchallenges.
Thistutorialwillprovideaguidedtourof(i)thecharacteristicsandapplicationsofcyber‐physicalsystemsandsensornetworks,(ii)associatedtechnicalchallengesandopportunities,and(iii)novelalgorithmicframeworksandsolutionsfordatacollectionfromsensorstreams,sensordatafusion,multi‐modalcontextrecognition,andsituation‐awaredecisionmaking.Thecommongoalistominimizeenergyconsumption(i.e.,maximizelifetime)andincreaseinformationaccuracy(i.e.,contextquality)inwirelesssensornetworks.Thetutorialwillbeconcludedwithopenissuesandfuturedirectionsofresearch.
T.4.1:WirelessBodyAreaNetworksTutorialSpeaker:Dr.DineshBhatia,ProfessorinElectricalEngineeringDepartment,ErikJinssonSchoolofEngineeringandComputerScience,TheUniversityofTexasatDallas,USA
Date:18.12.2011Title:BuildingReliableBodySensorNetworksforHealthcare
Abstract:Theideaofplacingsmallpervasivesensorsforquicklyandcontinuouslymonitoringavarietyofvitalssignsholdstremendouspromiseinhealthcareapplications.Diseasemanagementrequirescontinuousmonitoring,managingatriskpopulationalsorequirescontinuousandregularrecordingofriskparameters,andempoweringgeneralpopulationwithadvancedmonitoringmethodprovidesmechanismsforpreventivecareonaregularbasis.Inaddition,suchsensorscanbeinterfacedwith
wirelesstransceiversandfurtherconnectedwithgatewaydevices.Thisprovidesaverypowerfulparadigminestablishingcontinuousconnectedhealthcaremodel.Thiscanbeusedtoconnectremotepopulationsforeffectivedeliveryofhealthcare.Thistalkwilladdressthedesignofverylowenergybodysensornetworks.Itwillprovidebasicsofdesignthatwillenablegeneralaudiencetounderstandtheareaofbodysensornetworks.Inaddition,thetalkwillintroducechallengingproblemsthatmustbesolvedforbuildingveryreliablenetworks.Sometheseissuesincludelowenergywirelessdesigns,propagationofRFnearandthroughhumantissue,exactsensingmethods,andintegrationmethodstobuildhighlyubiquitousbodysensornetworks.
T.4.2:WirelessDistributedComputingTutorialSpeaker:Dr.DilipKrishnaswamy,Sr.StaffSystemsEngineer,OfficeoftheChiefScientist,Qualcomm,SanDiego,USATitle:Emergingtopicsinm2msystemsandwirelessdistributedprocessing
Date:18.12.2011
Abstract:Itiswellrecognizedthatcontextplaysasignificantroleinallhumanendeavors.Alldecisionsarebasedoninformationwhichhastobeinterpretedincontext.Bymakingtheinformationsystemscontext‐ awarewecanhavesystemsthatsignificantlyimprovethehumancapabilitiestohandlesituations.Further,mostofthetime,wereacttoeventsthattakeplace.Weorganizeactivities,andgatherinformationandresources,inresponseandhandletheeventinthecontextinwhichittakesplace.Thechallengecomesupwhenwedesignsystemsthatsupportourabilitiestohandleevents,anticipatedaswellasunanticipated.InthistutorialbediscussthecurrentstateoftheartforContext‐awareSystems,Event‐drivenSystemsandpresentsomeideastowardsthedesignandimplementationofContext‐aware,Event‐drivenSystems.SomeexamplesofthesystemsbeingdevelopedanddeployedattheUniversityofMarylandwillalsobepresented.
T.5.1:WirelessSecurityTutorialSpeaker:Dr.SnehaKumarKasera,AssociateProfessor,SchoolofComputing,UniversityofUtah,USATitle:WirelessNetworkSecurity
Date:19.12.2011
Abstract:Theneedforubiquitousnetworkaccessandservicesisfuelingtremendousgrowthofwirelesstechnologies,networks,andapplications.Mobileandwirelessdevicesarebeingincreasinglyusedforavarietyofapplicationsincludingmultimedia,informationsearchandretrieval,entertainment,social,business,andmedicalapplications,andsensingandactuation,amongothers.However,thebroadcastnatureofwirelesscommunications,wirelessdevicemobilityandresourcelimitations,havegivenrisetonewersecuritychallenges.Anunderstandingofthesechallengesandpotentialsolutionsisnecessaryfordesigningsecurewirelessandmobilesystemsandapplicationsand,attheveryleast,forincreasinguserawareness.Inthistutorial,wewillfirstdescribesecuritytools,includingthecryptographicones,
andthenelaboratehowthesetoolscanbeusedtosecurewirelessnetworks.Specifically,wewillexaminesecurityvulnerabilitiesandsolutionsrelatedtoauthentication,privatecommunication,anonymity,andjamming.WewillstrengthentheconceptswecoverwithexamplesfromWiFinetworks,cellularnetworks,mobileadhocnetworks,andwirelesssensornetworks.Wewillalsopresentsomeofthecommonlydeployedwirelesssecuritystandards.
T.6.1:MachineLearningTutorialSpeaker:(1)VenuGovindaraju,ProfessorofComputerScienceandEngineering,UniversityatBuffalo,StateUniversityofNewYork,USA(2)AnuragBharadwaj,SeniorResearchScientist,eBayResearchLabs,USA,(3)UtkarshPorwal,PhDStudent,UniversityatBuffalo,StateUniversityofNewYork,USATitle:MachineLearningAlgorithmsanditsApplicationsinDistributedWirelessSensorNetworks
Date:20.12.2011
Abstract:WirelessSensorNetworks(WSNs)hasbeenappliedinvariousdomainssuchasenvironmentmonitoring,industryandhealthcareforvariouspurposes.WSNsareusedtointeractwiththeenvironmentandsendusefulinformationacrossthenetwork.Thesesensorsneedtokeeptrackofstatesofothernodes,performadaptiveinformationextraction,andpredictlocationofmobilenodesforoptimumutilizationofresources.However,sensorsoftensufferfromproblemssuchasphysicalconstraints,lowbandwidthandineffectivecommunicationbetweendifferentnodeswhichleadstoerrorandinefficiencyinthenetwork.Hence,WSNshaveinspiredresearchonmachinelearningtechniquestoaddresstheselimitationswithmoregenericwaysofextractinginformationanddiscoveringrelations.Machinelearninghasalreadybeenusedtoaddressproblemssuchastomakeinferencefromthedatabyextractingusefulfeatures,buildingsimilaritymatrices,mappingvectorspacesofsignalsgivenbysensorswithphysicalspacesanddealingwithlargeamountofonlineunlabeleddata.Differentlearningparadigmssuchassupervised,unsupervisedandreinforcementlearninghasbeenusedtoaddresstheseissues.Moreover,classification,regressionandkerneltechniqueshavebeenusedtosolveseveralproblemspertainingtoWSNs.OntheotherhandMachinelearningandArtificialIntelligencecommunityhastakengreatinterestindistributedwirelesssensornetworks.ApplicationssuchasroboticsandcontextawarecomputinghaveusedWSNsextensivelyformoreintelligentandautomatedlearningprocess.ThistutorialintendstogivethecomprehensiveoverviewoffundamentalworkingandlimitationsofsuchmachinelearningalgorithmsandhighlightthescopeoffutureresearchinthisareausingMachineLearning.
T.7.1:RadarCommunicationTechnologyTutorialSpeaker:Dr.RamNarayanan,ProfessorofElectricalEngineering,ThePennsylvaniaStateUniversity,USATitle:HumanDetectionandCharacterizationthroughBarriers
Date:21.12.2011
Abstract:Thistutorialwillreviewandsummarisethecurrentstateofknowledgeintheareaofobscuredtargetdetection.Thetalkwilladdressthephenomenologyandcharacteristicsofwavepropagationthrough
barriers,suchasground,walls,foliage,etc.,asafunctionoffrequencyandmaterialproperties.Techniquesfordetectingsuchobscuredtargetsusingradartechniqueswillbediscussed.Bothconventionalandemergingwaveformswillbepresented.Detectionofhumanstrappedinearthquakedebriswillalsobeaddressed.Thetutorialwillbesubdividedintothefollowingmainsections.PartIwilldescribedifferenttypesofradarwaveformsingeneraluse,bothconventionalandemerging.InPartII,wewilldiscusshowspecificwaveformsareaffectedbytheEMenvironmentandreviewthelimitationsofcurrenttechniques.InPartIII,wewillreviewemergingwaveformdesignsforoptimaltargetdetectioninenclosedstructuresbehindbarriers.PartIVwillconcludebyprovidingdirectionsforfurtherresearch.
