{"title":"无线传感器网络的随机分布式检测","authors":"X. Liang, Wei Li, T. Gulliver","doi":"10.1109/ISITA.2008.4895541","DOIUrl":null,"url":null,"abstract":"Due to the fact that wireless sensor nodes are spatially distributed throughout the area of interest, event detection must be implemented in a distributed way. Unlike related distributed detection schemes, our proposed approach does not need a pre-designated fusion node. This greatly improves network scalability. In this paper, we provide closed-form expressions for the probability of detection error and probability of false alarm. These results are validated by extensive simulation.","PeriodicalId":338675,"journal":{"name":"2008 International Symposium on Information Theory and Its Applications","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Random distributed detection for wireless sensor networks\",\"authors\":\"X. Liang, Wei Li, T. Gulliver\",\"doi\":\"10.1109/ISITA.2008.4895541\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Due to the fact that wireless sensor nodes are spatially distributed throughout the area of interest, event detection must be implemented in a distributed way. Unlike related distributed detection schemes, our proposed approach does not need a pre-designated fusion node. This greatly improves network scalability. In this paper, we provide closed-form expressions for the probability of detection error and probability of false alarm. These results are validated by extensive simulation.\",\"PeriodicalId\":338675,\"journal\":{\"name\":\"2008 International Symposium on Information Theory and Its Applications\",\"volume\":\"43 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 International Symposium on Information Theory and Its Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISITA.2008.4895541\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 International Symposium on Information Theory and Its Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISITA.2008.4895541","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Random distributed detection for wireless sensor networks
Due to the fact that wireless sensor nodes are spatially distributed throughout the area of interest, event detection must be implemented in a distributed way. Unlike related distributed detection schemes, our proposed approach does not need a pre-designated fusion node. This greatly improves network scalability. In this paper, we provide closed-form expressions for the probability of detection error and probability of false alarm. These results are validated by extensive simulation.