简介：Inthispaperanewreactivemechanismbasedonperception-actionbionicsformulti-sensoryintegrationappliedtoUn-mannedAerialVehicles(UAVs)navigationisproposed.Thestrategyisinspiredbytheolfactorybulbneuralactivityobservedinrabbitssubjecttoexternalstimuli.ThenewUAVnavigationtechniqueexploitstheuseofamultiscrollchaoticsystemwhichisabletobecontrolledinreal-timetowardslesscomplexorbits,likeperiodicorbitsorequilibriumpoints,consideredasperceptiveorbits.Thesearesubjecttoreal-timemodificationsonthebasisofenvironmentchangesacquiredthroughaSyntheticApertureRadar(SAR)sensorysystem.Themathematicaldetailsoftheapproacharegivenincludingsimulationresultsinavirtualen-vironment.TheresultsdemonstratethecapabilityofautonomousnavigationforUAVbasedonchaoticbionicstheoryincom-plexspatialenvironments.

简介：Anovelbionicswarmintelligencealgorithm,calledantcolonyalgorithmbasedonablackboardmechanism,isproposedtosolvetheautonomyanddynamicdeploymentofmobilessensornetworkseffectively.Ablackboardmechanismisintroducedintothesystemformakingpheromoneandcompletingthealgorithm.Everynode,whichcanbelookedasanant,makesoneinformationzoneinitsmemoryforcommunicatingwithothernodesandleavespheromone,whichiscreatedbyantitselfinnature.ThenantcolonytheoryisusedtofindtheoptimizationschemeforpathplanninganddeploymentofmobileWirelessSensorNetwork(WSN).Wetestthealgorithminadynamicandunconfigurableenvironment.Theresultsindicatethatthealgorithmcanreducethepowerconsumptionby13%averagely,enhancetheefficiencyofpathplanninganddeploymentofmobileWSNby15%averagely.