{"title":"Research on Indoor Positioning Based on Smart Home Bluetooth Networking","authors":"XueZhou Tong, Liheng Wang, YanCheng Cui","doi":"10.1109/AICIT55386.2022.9930283","DOIUrl":null,"url":null,"abstract":"With the rapid development of the Internet of Things, most of the smart home is equipped with Bluetooth above 5.0 system. With the wide use of smart home such as Tmall Spirit and Mijia, it provides a new way for indoor positioning. Therefore, this paper designs an indoor positioning system based on Bluetooth networking. The system uses the characteristics of low power consumption and communication stability of Bluetooth Mesh networking, combines with Gaussian filtering and Kalman filtering to filter the Bluetooth signal, and finally calculates the Bluetooth signal through the RSSI algorithm and realizes the positioning in the server through the three-sided center of mass algorithm.","PeriodicalId":231070,"journal":{"name":"2022 International Conference on Artificial Intelligence and Computer Information Technology (AICIT)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Artificial Intelligence and Computer Information Technology (AICIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AICIT55386.2022.9930283","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
With the rapid development of the Internet of Things, most of the smart home is equipped with Bluetooth above 5.0 system. With the wide use of smart home such as Tmall Spirit and Mijia, it provides a new way for indoor positioning. Therefore, this paper designs an indoor positioning system based on Bluetooth networking. The system uses the characteristics of low power consumption and communication stability of Bluetooth Mesh networking, combines with Gaussian filtering and Kalman filtering to filter the Bluetooth signal, and finally calculates the Bluetooth signal through the RSSI algorithm and realizes the positioning in the server through the three-sided center of mass algorithm.
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