WSN快速数据收集与安全数据融合的分析

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1、重庆大学硕士学位论文英文摘要ABSTRACTWirelesssensornetworkisadata-centricnetworkwhichiscomposedofmanysensornodes.Itcanmonitor,collectandprocesstheinformationofmonitoringobject,anditsapplicationprospectisverybroad.However,thesensornodesinwirelesssensornetworksarefacedwiththeconstraintofresources

2、,aswellassecuritythreats.Sincetheoriginalsensordatatothebasestationnodesusuallyneedstogothroughstagesofdatacollectionanddatafusion.Usingdatacollectionmethodsbasedonpredictiontoprocesssensordatainthedatacollectionphasecaneffectivelyreducetheenergyconsumptionofcommunicationbetweenn

3、odesandextendnetworklifetime.Meanwhile,aggregatingthecollecteddataandtakingappropriatesecuritypoliciesinthetransmissionofdatafusionstagecaneffectivelyimprovenetworksecurityandensurefusionresultstoreachbasenodesafely.CollectingsensordatabasedonautoregressionmodelAR(p)isaneffective

4、methodtoreducethefrequencyofdatacommunicationbetweenclusterheadandleafnodes,andlowerenergyconsumptionofnodesinwirelesssensornetwork.However,thetraditionalAR(p)modelignoresthedifferentinfluenceofhistoricaldataindifferentperiodsonthepredictivevalueinthemodelingprocessandaffectsthep

5、redictionaccuracyofpredictionmodelandthefrequencyofdatacommunicationinWSN.Inthisregard,animprovedAR(p)predictionmodelwhichisknownasFAR(p)isproposed.ByspecifyingaweightvalueforeachhistoricaldatawithaanappropriatefuzzymembershipfunctionintroducedinAR(p)toweakentheimpactofearlydatao

6、nthepredictivevalueindatasequenceandstrengthentheroleofrecentdataonthepredictivevalue,thenreconstructpost-processingpredictionmodelfordatacollectionafterprocessingdataandweightsbyweightedaveragesecond-orderweakeningbufferalgorithm.Finally,thesimulationresultsshowthattheimprovedmo

7、delcaneffectivelyimprovepredictionaccuracyofthepredictivemodel,reducedatacommunicationanddecreaseenergyconsumptioninWSNAtthesametime,takingintoaccountthedatathatcollectedbyclusterheadnodeisfacingserioussecurityproblemsduringintegrationprocessandtransportprocess,thispaperproposesa

8、newsecurityalgorithmscalledHEHMACwhichca