{"title":"大规模无线传感器网络中源节点位置估计","authors":"D. Penkin, G. Janssen, A. Yarovoy","doi":"10.23919/EUMC.2012.6459157","DOIUrl":null,"url":null,"abstract":"An algorithm suitable to estimate the source node location in a large-scale wireless sensor network without relying on a particular network infrastructure is developed based on a discrete percolation approach. The algorithm's applicability is evaluated in terms of confidence intervals for the Gaussian distribution of hop count in a peripheral channel and cooperative routing effect is exploited to improve the localization approach.","PeriodicalId":266910,"journal":{"name":"2012 42nd European Microwave Conference","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Source node location estimation in large-scale wireless sensor networks\",\"authors\":\"D. Penkin, G. Janssen, A. Yarovoy\",\"doi\":\"10.23919/EUMC.2012.6459157\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An algorithm suitable to estimate the source node location in a large-scale wireless sensor network without relying on a particular network infrastructure is developed based on a discrete percolation approach. The algorithm's applicability is evaluated in terms of confidence intervals for the Gaussian distribution of hop count in a peripheral channel and cooperative routing effect is exploited to improve the localization approach.\",\"PeriodicalId\":266910,\"journal\":{\"name\":\"2012 42nd European Microwave Conference\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 42nd European Microwave Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/EUMC.2012.6459157\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 42nd European Microwave Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/EUMC.2012.6459157","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Source node location estimation in large-scale wireless sensor networks
An algorithm suitable to estimate the source node location in a large-scale wireless sensor network without relying on a particular network infrastructure is developed based on a discrete percolation approach. The algorithm's applicability is evaluated in terms of confidence intervals for the Gaussian distribution of hop count in a peripheral channel and cooperative routing effect is exploited to improve the localization approach.
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