{"title":"基于重心坐标的三维水下无线传感器网络分布式定位","authors":"Lei Shi;Shaojie Yao;Nianwen Ning;Yi Zhou","doi":"10.1109/TSIPN.2024.3440644","DOIUrl":null,"url":null,"abstract":"Accurate localization of underwater wireless sensor networks (UWSNs) are essential for their seamless integration and operational efficacy in marine environments, yet it poses a considerable technical challenge due to the distinctive limitations of underwater communications. This paper addresses the intricate 3-D localization problem for UWSNs by proposing an innovative method based on barycentric coordinates and relative distance measurements. In order to adapt to the influence of underwater communication constraints, a barycentric coordinate-based distributed iterative localization method combining with the processing of underwater background noise is proposed. It is proved theoretically that the proposed method can almost guarantee the convergence to the exact location of each underwater sensor node. Finally, the effectiveness of the proposed localization method is verified by numerical simulations. The proposed localization scheme requires only small number of anchor nodes, thus facilitating the development of broader and more cost-effective underwater localization systems.","PeriodicalId":56268,"journal":{"name":"IEEE Transactions on Signal and Information Processing over Networks","volume":"10 ","pages":"640-649"},"PeriodicalIF":3.0000,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Barycentric Coordinate-Based Distributed Localization Over 3-D Underwater Wireless Sensor Networks\",\"authors\":\"Lei Shi;Shaojie Yao;Nianwen Ning;Yi Zhou\",\"doi\":\"10.1109/TSIPN.2024.3440644\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Accurate localization of underwater wireless sensor networks (UWSNs) are essential for their seamless integration and operational efficacy in marine environments, yet it poses a considerable technical challenge due to the distinctive limitations of underwater communications. This paper addresses the intricate 3-D localization problem for UWSNs by proposing an innovative method based on barycentric coordinates and relative distance measurements. In order to adapt to the influence of underwater communication constraints, a barycentric coordinate-based distributed iterative localization method combining with the processing of underwater background noise is proposed. It is proved theoretically that the proposed method can almost guarantee the convergence to the exact location of each underwater sensor node. Finally, the effectiveness of the proposed localization method is verified by numerical simulations. The proposed localization scheme requires only small number of anchor nodes, thus facilitating the development of broader and more cost-effective underwater localization systems.\",\"PeriodicalId\":56268,\"journal\":{\"name\":\"IEEE Transactions on Signal and Information Processing over Networks\",\"volume\":\"10 \",\"pages\":\"640-649\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2024-08-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Signal and Information Processing over Networks\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10631708/\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Signal and Information Processing over Networks","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10631708/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Barycentric Coordinate-Based Distributed Localization Over 3-D Underwater Wireless Sensor Networks
Accurate localization of underwater wireless sensor networks (UWSNs) are essential for their seamless integration and operational efficacy in marine environments, yet it poses a considerable technical challenge due to the distinctive limitations of underwater communications. This paper addresses the intricate 3-D localization problem for UWSNs by proposing an innovative method based on barycentric coordinates and relative distance measurements. In order to adapt to the influence of underwater communication constraints, a barycentric coordinate-based distributed iterative localization method combining with the processing of underwater background noise is proposed. It is proved theoretically that the proposed method can almost guarantee the convergence to the exact location of each underwater sensor node. Finally, the effectiveness of the proposed localization method is verified by numerical simulations. The proposed localization scheme requires only small number of anchor nodes, thus facilitating the development of broader and more cost-effective underwater localization systems.
期刊介绍:
The IEEE Transactions on Signal and Information Processing over Networks publishes high-quality papers that extend the classical notions of processing of signals defined over vector spaces (e.g. time and space) to processing of signals and information (data) defined over networks, potentially dynamically varying. In signal processing over networks, the topology of the network may define structural relationships in the data, or may constrain processing of the data. Topics include distributed algorithms for filtering, detection, estimation, adaptation and learning, model selection, data fusion, and diffusion or evolution of information over such networks, and applications of distributed signal processing.