预览加载中，请您耐心等待几秒...

基于RSSI的无线传感器网络节点自身定位算法.docx

预览
1/4
2/4
3/4
4/4

在线预览结束，喜欢就下载吧，查找使用更方便

下载提示 文本预览

如果您无法下载资料，请参考说明：

1、部分资料下载需要金币，请确保您的账户上有足够的金币

2、已购买过的文档，再次下载不重复扣费

3、资料包下载后请先用软件解压，在使用对应软件打开

基于RSSI的无线传感器网络节点自身定位算法 Abstract Thispaperproposesanovelalgorithmforwirelesssensornetworknodeself-localizationbasedonReceivedSignalStrengthIndicator(RSSI).TheproposedalgorithmisabletoaccuratelyandefficientlyestimatethelocationofasensornodebasedontheRSSIvaluesobtainedfromitsneighboringnodes.Thealgorithmisevaluatedusingsimulationresults,whichshowthatitachieveshighaccuracyandlowcomputationalcomplexity. Introduction Wirelesssensornetworks(WSNs)havefoundawiderangeofapplicationsinvariousfields,suchasenvironmentalmonitoring,healthmonitoring,industrialcontrol,andsecuritysurveillance.OneofthemainresearchtopicsinWSNsislocalization,whichreferstotheprocessofidentifyingthephysicallocationofsensornodes.AccuratelocalizationisessentialformanyWSNapplications,suchastrackingobjects,monitoringenvironmentalparameters,anddetectingintrusion. Traditionally,localizationalgorithmsinWSNsaredividedintotwocategories:range-basedandrange-freealgorithms.Range-basedalgorithmsusethemeasureddistanceortime-of-arrival(TOA)betweennodestoestimatetheirpositions.However,thesealgorithmsusuallyrequirespecializedhardwareorsynchronizationamongnodes,whichmaylimittheirapplicability.Range-freealgorithms,ontheotherhand,userelativepositioninginformation,suchasangleorconnectivity,todeterminethenodelocations.However,thesealgorithmssufferfromloweraccuracycomparedtorange-basedmethods. Inrecentyears,therehasbeengrowinginterestinlocalizationalgorithmsbasedonReceivedSignalStrengthIndicator(RSSI)measurements.RSSIisaparameterthatcharacterizesthesignalstrengthofaradiofrequency(RF)signal,anditcanbeobtainedbyeachnodeinthenetworkwithoutanyspecialhardwareorsynchronization.Therefore,RSSI-basedalgorithmsareattractiveforWSNlocalizationapplications. Inthispaper,weproposeanRSSI-basedalgorithmforself-localizationofsensornodesinWSNs.ThealgorithmisbasedontheideathattheRSSIvaluesbetweennodesinanetworkareinverselyproportionaltothedistancebetweenthem.Byusingasetofdistanceequations,wecanestimatethepositionsofthenodesinanetwork.Inthefollowing