Nguyen Khac Vinh, Tran Quang Long, Nguyen Anh Viet, Duong Minh Tien, Vo Phuoc Hau, T. D. Souza-Daw, Trinh Dang, Ngoc Hoang Le, T. Hoang, Tien Dzung Nguyen
{"title":"Efficient tracking of industrial equipments using a wi-fi based localization system","authors":"Nguyen Khac Vinh, Tran Quang Long, Nguyen Anh Viet, Duong Minh Tien, Vo Phuoc Hau, T. D. Souza-Daw, Trinh Dang, Ngoc Hoang Le, T. Hoang, Tien Dzung Nguyen","doi":"10.1109/SOCPAR.2013.7054114","DOIUrl":null,"url":null,"abstract":"Wi-Fi localization system based on RSSI is the best candidate for indoor device-tracking in comparison with other systems based on GPS, RFID, infrared and image processing. This paper presents Wi-Fi localization system based on a Wi-Fi routers' network for tracking the device position indoors such as buildings, university campus, skyscrapers and other places where Wi-Fi is present including shopping malls. Our system consistently collects the current location and status of the tracked devices and sends them periodically to the users' central office for further processing and display. If there are any unexpected changes of the tracked device's position, an immediate notification is sent via email to the administrator for security purposes. The system operates real-time with high accuracy. Contributions are made in software development and Wi-Fi tags attachments design.","PeriodicalId":315126,"journal":{"name":"2013 International Conference on Soft Computing and Pattern Recognition (SoCPaR)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Conference on Soft Computing and Pattern Recognition (SoCPaR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SOCPAR.2013.7054114","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Wi-Fi localization system based on RSSI is the best candidate for indoor device-tracking in comparison with other systems based on GPS, RFID, infrared and image processing. This paper presents Wi-Fi localization system based on a Wi-Fi routers' network for tracking the device position indoors such as buildings, university campus, skyscrapers and other places where Wi-Fi is present including shopping malls. Our system consistently collects the current location and status of the tracked devices and sends them periodically to the users' central office for further processing and display. If there are any unexpected changes of the tracked device's position, an immediate notification is sent via email to the administrator for security purposes. The system operates real-time with high accuracy. Contributions are made in software development and Wi-Fi tags attachments design.