{"title":"基于TDOA量化的改进无线传感器网络DV-Hop定位算法","authors":"Q. Tang, Jian Wang","doi":"10.1109/ICNISC.2017.00013","DOIUrl":null,"url":null,"abstract":"In this paper, we propose an improved method of DV-Hop localization algorithm in wireless sensor networks based on the time difference of arrival (TDOA) quantization assisted. The number of hops of the nodes in the DV-Hop localization algorithm is quantified by combining with the low error characteristic of TDOA when measuring close distance. And the average per hop distance of each anchor node is corrected by means of using the hop weighted and limiting the propagation of hops to make it more close to the true value. Through simulations, we compare the performance of improved algorithm with other localization schemes and show that improved algorithm has more efficient and stable performance.","PeriodicalId":429511,"journal":{"name":"2017 International Conference on Network and Information Systems for Computers (ICNISC)","volume":"580 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"An Improved DV-Hop Localization Algorithm for Wireless Sensor Network Based on TDOA Quantization\",\"authors\":\"Q. Tang, Jian Wang\",\"doi\":\"10.1109/ICNISC.2017.00013\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose an improved method of DV-Hop localization algorithm in wireless sensor networks based on the time difference of arrival (TDOA) quantization assisted. The number of hops of the nodes in the DV-Hop localization algorithm is quantified by combining with the low error characteristic of TDOA when measuring close distance. And the average per hop distance of each anchor node is corrected by means of using the hop weighted and limiting the propagation of hops to make it more close to the true value. Through simulations, we compare the performance of improved algorithm with other localization schemes and show that improved algorithm has more efficient and stable performance.\",\"PeriodicalId\":429511,\"journal\":{\"name\":\"2017 International Conference on Network and Information Systems for Computers (ICNISC)\",\"volume\":\"580 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on Network and Information Systems for Computers (ICNISC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICNISC.2017.00013\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Network and Information Systems for Computers (ICNISC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNISC.2017.00013","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Improved DV-Hop Localization Algorithm for Wireless Sensor Network Based on TDOA Quantization
In this paper, we propose an improved method of DV-Hop localization algorithm in wireless sensor networks based on the time difference of arrival (TDOA) quantization assisted. The number of hops of the nodes in the DV-Hop localization algorithm is quantified by combining with the low error characteristic of TDOA when measuring close distance. And the average per hop distance of each anchor node is corrected by means of using the hop weighted and limiting the propagation of hops to make it more close to the true value. Through simulations, we compare the performance of improved algorithm with other localization schemes and show that improved algorithm has more efficient and stable performance.
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