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基于RSSI的多维定标迭代定位算法.docx

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基于RSSI的多维定标迭代定位算法 RSSI-basedMultidimensionalIterativeLocalizationAlgorithm Introduction Theuseofwirelesssensornetworkshasincreasedsignificantlyinrecentyearsduetotheirabilitytomonitorandcollectdatafromremotelocations.Oneimportantapplicationofwirelesssensornetworksislocalization,whichenablesthedeterminationofthelocationofsensornodeswithinthenetwork.Thelocalizationofsensornodesisessentialformanyapplications,includingenvironmentalmonitoring,healthcare,andagriculture.Inrecentyears,therehasbeenincreasinginterestinusingradiosignalsforlocalizationduetoitscost-effectivenessandreliability.Onesuchapproachistheuseofreceivedsignalstrengthindication(RSSI)forlocalization.Inthispaper,weproposeamultidimensionaliterativelocalizationalgorithmbasedonRSSI. Background Localizationofsensornodesinwirelessnetworksisachallengingtaskduetotheinherentlimitationsofwirelesscommunication.Theexistinglocalizationtechniquescanbeclassifiedintotwocategories:range-basedandrange-free.Range-basedtechniquesinvolvethemeasurementofthedistancebetweensensornodesusingvarioustechniquessuchastimeofarrival,timedifferenceofarrival,andangleofarrival.Range-freetechniques,ontheotherhand,usetheconnectivityinformationbetweensensornodestodeterminethelocationofthenodes. RSSI-basedlocalizationisarange-freetechniquethatusesthereceivedsignalstrengthindication(RSSI)todeterminethelocationofsensornodes.RSSIisameasurementofthepowerlevelofareceivedradiosignalandisdependentonthedistancebetweenthetransmitterandthereceiver,thedirectionofthesignal,andthepresenceofanyobstacles.Duetothecomplexityofthewirelesschannel,itisdifficulttoaccuratelydeterminethedistancebetweensensornodesusingRSSI.However,RSSIcanstillbeusedtoestimatethelocationofsensornodeswithreasonableaccuracy. ProposedAlgorithm Inthispaper,weproposeamultidimensionaliterativelocalizationalgorithmbasedonRSSI.Thealgorithmconsistsofthreemainsteps:initialization,proximitymeasurement,andlocationestimation. Initialization:Intheinitializationstep,theanchornodesareplacedatknownlocatio