Sensor-based allocation for path planning and area coverage using UGSs

Sensor-based allocation for path planning and area coverage using UGSs

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页数:8页

时间:2019-07-10

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1、Sensor-BasedAllocationforPathPlanningandAreaCoverageusingUGSsErikP.BlaschPatrickMaupinAnne-LaureJousselmeDefenceR&DCanada-ValcartierDef.R&DCanada-ValcartierDef.R&DCanada-Valcartier2459Pie-XIBlvd.North2459Pie-XIBlvd.North2459Pie-XIBlvd.NorthQuébecCity,QCG3J1X5Qu

2、ébecCity,QCG3J1X5QuébecCity,QCG3J1X5erik.blasch@drdc-rddc.gc.capatrick.maupin@drdc-rddc.gc.caAnne-Laure.Jousselme@drdc-rddc.gc.caAbstract–ThegoaloftheprojectistoincorporateHocNetworks(MANET)andcooperativerobotsfromsituationalawarenessmethodsandperformancewhichm

3、anyeffortsareappliedsuchasinformation-evaluationusingdistributedunattendedgroundsensortheoreticentropyapproaches[11].(UGS)wirelesssensornetworks,areacoverage,andpathDeployedgroundsensorscanobservethetargets;planningtomonitortargets.Generalizedmeasuresofhowevert

4、heyaresubjecttothequalityofthesensorperformanceareutilizedfordeterminingwhichsensorstomeasurementsasawellasobscurations.Oneinterestingallocatetoobserveamovingtargetthroughobscurations.questionishowtodeploythefixedsensorsthatoptimizeUsingavarietyoftechniquesinth

5、eliterature,weproposetheperformanceofasystem.Effortsindistributedamethodofanalysisfordynamicresourcemanagementwirelessnetworks(WSNs)[12]haveresultedinmanyfordecisionsupport.Inthispaper,wesimulateapathissuesindistributedprocessing,communications,anddataplanningo

6、bjectthatmovestogoalinthepresenceoffusion[13].TofacilitatebothWSNsdecisionsupport,obstacles.Thedistributedsensorsmustmaintainarearequireseffortsinunderstandingtheuser’sneeds[14],thecoverageandperformsensormanagementtomaintainthetheoreticalandknowledgemodels[15]

7、,andsituationalpathoftheobject.Weinvestigatedthesensorawarenessprocessingtechniques[16].Inadynamicmanagementfunctionsofdirectsearch,cueing,thescenario,resourcecoordination[17]isneededforbothsequentialprobabilityratiotest(SPRT),andinformationcontextassessment,bu

8、talsotheabilitytobeawareoftheoreticalmethodsofKLdivergence(ordiscriminationimpendingsituationalthreats[18,19].Fordistributedgain)andmutualinformation.Thesemethodsaffordsensi

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