Xueshu Zheng, S. Yang, Naigao Jin, Lei Wang, Mathew L. Wymore, D. Qiao
{"title":"DiVA:基于voronoi的分布式声源定位与无线传感器网络","authors":"Xueshu Zheng, S. Yang, Naigao Jin, Lei Wang, Mathew L. Wymore, D. Qiao","doi":"10.1109/INFOCOM.2016.7524541","DOIUrl":null,"url":null,"abstract":"This paper presents DiVA, a novel hybrid range-free and range-based acoustic source localization scheme that uses an ad-hoc network of microphone sensor nodes to produce an accurate estimate of the source's location in the presence of various real-world challenges. DiVA uses range-free pairwise comparisons of sound detection timestamps between local Voronoi neighbors to identify the node closest to the acoustic source, which then estimates the source's location using a constrained range-based method. Through simulation and experimental evaluations, DiVA is shown to be accurate and highly robust, making it practical for real-world applications.","PeriodicalId":274591,"journal":{"name":"IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications","volume":"4 4","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"DiVA: Distributed Voronoi-based acoustic source localization with wireless sensor networks\",\"authors\":\"Xueshu Zheng, S. Yang, Naigao Jin, Lei Wang, Mathew L. Wymore, D. Qiao\",\"doi\":\"10.1109/INFOCOM.2016.7524541\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents DiVA, a novel hybrid range-free and range-based acoustic source localization scheme that uses an ad-hoc network of microphone sensor nodes to produce an accurate estimate of the source's location in the presence of various real-world challenges. DiVA uses range-free pairwise comparisons of sound detection timestamps between local Voronoi neighbors to identify the node closest to the acoustic source, which then estimates the source's location using a constrained range-based method. Through simulation and experimental evaluations, DiVA is shown to be accurate and highly robust, making it practical for real-world applications.\",\"PeriodicalId\":274591,\"journal\":{\"name\":\"IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications\",\"volume\":\"4 4\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-04-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INFOCOM.2016.7524541\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INFOCOM.2016.7524541","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
DiVA: Distributed Voronoi-based acoustic source localization with wireless sensor networks
This paper presents DiVA, a novel hybrid range-free and range-based acoustic source localization scheme that uses an ad-hoc network of microphone sensor nodes to produce an accurate estimate of the source's location in the presence of various real-world challenges. DiVA uses range-free pairwise comparisons of sound detection timestamps between local Voronoi neighbors to identify the node closest to the acoustic source, which then estimates the source's location using a constrained range-based method. Through simulation and experimental evaluations, DiVA is shown to be accurate and highly robust, making it practical for real-world applications.