{"title":"基于Wi-Fi和蓝牙的低功耗室内定位系统","authors":"F. Abed, Zahraa A. Hamza, M. Mosleh","doi":"10.1109/IEC54822.2022.9807489","DOIUrl":null,"url":null,"abstract":"With the increase in the popularity of wireless technology, almost all utilize their handset for much more than just making phone calls. One of the easy-to-implement applications is to locate objects and place them under surveillance, such as children, patients, or even valuable possessions. The idea is to exploit the possibility of routers that work with a Wi-Fi or Bluetooth signal for additional applications to perform tasks without an added cost. In this paper, a proposed model that included 3 Access Points (APs) and one target are installed in a case study room with a dimension of 8*8 m2 to localize and track the target within it. The 3 APs are installed in a chosen location to apply the Trilateration algorithm in order to, detect the location of such target. Also, the APs signal is used Wi-Fi and Bluetooth to compare which one is precise. The tools used for measuring the received signal (AirPort Utility) and (Bluetooth Received Signal Strength Indicator (RSSI) Analyzer) for Wi-Fi and Bluetooth respectively. The results show that the average errors are 1.3 m and 1.7 m for Wi-Fi and Bluetooth respectively. From this result, we conclude that estimating coordinates inside the room using Wi-Fi technology is more accurate than using Bluetooth technology under the same conditions. This model can be added as an additional application to the Wi-Fi and Bluetooth devices that are available in our life.","PeriodicalId":265954,"journal":{"name":"2022 8th International Engineering Conference on Sustainable Technology and Development (IEC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Indoor Positioning System Based on Wi-Fi and Bluetooth Low Energy\",\"authors\":\"F. Abed, Zahraa A. Hamza, M. Mosleh\",\"doi\":\"10.1109/IEC54822.2022.9807489\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the increase in the popularity of wireless technology, almost all utilize their handset for much more than just making phone calls. One of the easy-to-implement applications is to locate objects and place them under surveillance, such as children, patients, or even valuable possessions. The idea is to exploit the possibility of routers that work with a Wi-Fi or Bluetooth signal for additional applications to perform tasks without an added cost. In this paper, a proposed model that included 3 Access Points (APs) and one target are installed in a case study room with a dimension of 8*8 m2 to localize and track the target within it. The 3 APs are installed in a chosen location to apply the Trilateration algorithm in order to, detect the location of such target. Also, the APs signal is used Wi-Fi and Bluetooth to compare which one is precise. The tools used for measuring the received signal (AirPort Utility) and (Bluetooth Received Signal Strength Indicator (RSSI) Analyzer) for Wi-Fi and Bluetooth respectively. The results show that the average errors are 1.3 m and 1.7 m for Wi-Fi and Bluetooth respectively. From this result, we conclude that estimating coordinates inside the room using Wi-Fi technology is more accurate than using Bluetooth technology under the same conditions. This model can be added as an additional application to the Wi-Fi and Bluetooth devices that are available in our life.\",\"PeriodicalId\":265954,\"journal\":{\"name\":\"2022 8th International Engineering Conference on Sustainable Technology and Development (IEC)\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-02-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 8th International Engineering Conference on Sustainable Technology and Development (IEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEC54822.2022.9807489\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 8th International Engineering Conference on Sustainable Technology and Development (IEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEC54822.2022.9807489","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
摘要
随着无线技术的日益普及,几乎所有人都使用他们的手机不仅仅是打电话。其中一个易于实现的应用是定位对象并将其置于监视之下,例如儿童、病人,甚至是贵重物品。这个想法是利用与Wi-Fi或蓝牙信号一起工作的路由器的可能性,在不增加成本的情况下为其他应用程序执行任务。本文提出的模型包括3个接入点(ap)和一个目标,安装在一个尺寸为8*8 m2的案例研究室内,以定位和跟踪其中的目标。将3个ap安装在选定的位置,应用Trilateration算法来检测目标的位置。此外,ap信号是用Wi-Fi和蓝牙来比较哪个更精确。分别用于测量Wi-Fi和蓝牙接收信号的工具(AirPort Utility)和(Bluetooth received signal Strength Indicator (RSSI) Analyzer)。结果表明,Wi-Fi和蓝牙的平均误差分别为1.3 m和1.7 m。从这个结果,我们得出结论,在相同的条件下,使用Wi-Fi技术估计房间内的坐标比使用蓝牙技术更准确。这个模型可以作为一个额外的应用程序添加到我们生活中可用的Wi-Fi和蓝牙设备。
Indoor Positioning System Based on Wi-Fi and Bluetooth Low Energy
With the increase in the popularity of wireless technology, almost all utilize their handset for much more than just making phone calls. One of the easy-to-implement applications is to locate objects and place them under surveillance, such as children, patients, or even valuable possessions. The idea is to exploit the possibility of routers that work with a Wi-Fi or Bluetooth signal for additional applications to perform tasks without an added cost. In this paper, a proposed model that included 3 Access Points (APs) and one target are installed in a case study room with a dimension of 8*8 m2 to localize and track the target within it. The 3 APs are installed in a chosen location to apply the Trilateration algorithm in order to, detect the location of such target. Also, the APs signal is used Wi-Fi and Bluetooth to compare which one is precise. The tools used for measuring the received signal (AirPort Utility) and (Bluetooth Received Signal Strength Indicator (RSSI) Analyzer) for Wi-Fi and Bluetooth respectively. The results show that the average errors are 1.3 m and 1.7 m for Wi-Fi and Bluetooth respectively. From this result, we conclude that estimating coordinates inside the room using Wi-Fi technology is more accurate than using Bluetooth technology under the same conditions. This model can be added as an additional application to the Wi-Fi and Bluetooth devices that are available in our life.