傳感器網(wǎng)絡(luò)中傳感器分類(lèi)及其數(shù)據(jù)約簡(jiǎn)的研究與實(shí)現(xiàn).pdf

1、東北大學(xué)碩士學(xué)位論文傳感器網(wǎng)絡(luò)中傳感器分類(lèi)及其數(shù)據(jù)約簡(jiǎn)的研究與實(shí)現(xiàn)姓名：?jiǎn)逃律暾?qǐng)學(xué)位級(jí)別：碩士專(zhuān)業(yè)：計(jì)算機(jī)系統(tǒng)結(jié)構(gòu)指導(dǎo)教師：趙海20061201東北大學(xué)碩士學(xué)位論文ResearchandImplementationofSensorClassificationandDataReductioninWSNAbstractThelimitedenergyofsensornodeis皿importantproblemthatshouldbesol

2、vedurgentlyinWSNappficationAstheresearchindicatesthattheenergyofsensornodeismainlyconsumedinwirelesscommunicationanddataredundancyinWSNwastetheenergyofsensornodefrequentlyOptimizingthedatagatheringandreducingthetransmiss

3、ionofdataredundancycanlowerthe∞usornodeenergyconsumptionprolongthenetworksurviveperiodDataredundancyinWSNnotonlyexistsbc腳c鋤sensornodes。butalsoexistsins朗l湖nodedatagatheringThepresentseusornodeonlycanachievethedatagatherin

4、gintermofa丘xedsamplingintervalmechanicallyit鋤notachievethedynamiccontrolofSCIISOrdatagatheringaccordingtotherealcharacteristicofobjectParticularlyinmultiSensordatagatheringitoftengatherslargenumbersofthesameorsimilardata

5、fromobjectthatchangeslittleInordertOachievethedynamiccontrolofseusordatagatheringweshouldclassifytheSensorsonsensornodeBasedonthisr曲sonthisthesismainlyreSearchessensorclassificationthedynamiccontrolofdatagatheringandachi

6、evesdatareductionofdatagatheringThethesis鋤bedividedintofourmainparts1nthefirstpartweputforwardaSeusorclassificationmethodbasedOilTime—SensitivityThisclassificationmethodclassifiestheSeILqOrsiⅡt0differenttypesbythechangeo

7、fseusordatagatheringandtherealdemandofobserverInthesecondpart，thisthesisalsoputsforwardasensorclassificationlayerconcepttoachievetheoperationofSensorclassificationinWSNoperatingsystemtoabstracttheoperationofSCusorclassif

8、icationandsimplifytherealizationofselLqOrdynamiccontrolinapplicationCombinedwiththefactofTmyOSwedesignandimplementthissel]lsorclassificationlayerInthethirdpart，weintegratetheresultofSeusorclassificationandmulti—sensordat

9、agatheringinTmyOS，researchandimplementanewmultiSensordatagatheringmode，achievingthedynamicconttolofsensordatagatheringimplementthedatareductionofseusornodeInthelastpartwetestandanalyzethepreSentandthenewmultiseusordataga

10、theringmodebysimulationandrealnlnWepreSentthekcomparisonandevaluationVaUdatetheeffectofsensorclassificationanddatareductionKeywords：TuneSensitivity；Sensorclass砸cation；Multi—scnsordatagathering；Datareduction；WirelessSenso