{"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}
引用次数: 1
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.