@inbook{973c290e4b424635ac5129eb0af7f708,
title = "An indoor positioning system based on iBeacon",
abstract = "Compared with the maturity of outdoor positioning technology, the indoor LBS (Location Based Services) are far less available. Yet, some applications such as virtual reality and augmented reality are in great need of services provided by indoor positioning technology. This paper presents an indoor positioning method and system based on iBeacons, which are a kind of low energy Bluetooth gadgets proposed by Apple. An array of iBeacons are deployed in an indoor environment to periodically emit signals which can be received by a mobile phone. The distance between the mobile phone and the iBeacons can be obtained by RSSI (Received Signal Strength Indication) ranging model. The position can be calculated according the three-ball positioning algorithm whenever three or more signals are received. A lot of experiments have been accomplished and the results show that the positioning accuracy can be acquired less than 1.1 m. Thus, the system can meet the requirements of many indoor positioning application scenarios.",
keywords = "Indoor positioning, Three-ball positioning algorithm, iBeacons",
author = "Quanyu Wang and Yuan Guo and Lida Yang and Mi Tian",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag GmbH Germany 2017.",
year = "2017",
doi = "10.1007/978-3-662-54395-5_22",
language = "English",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "262--272",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
address = "Germany",
}