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An Indoor Positioning System Based on iBeacon

  • Quanyu Wang
  • Yuan GuoEmail author
  • Lida Yang
  • Mi Tian
Chapter
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10092)

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 iBeacons Three-ball positioning algorithm 

References

  1. 1.
    Mautz, R.: Indoor positioning technologies (2012)Google Scholar
  2. 2.
    Castro, P.: A probabilistic location service for wireless network environments (Nibble). In: Ubiquitous Computing 2001 (2001)Google Scholar
  3. 3.
    Feldmann, S., et al.: An indoor bluetooth-based positioning system: concept, implementation and experimental evaluation. In: International Conference on Wireless Networks (2003)Google Scholar
  4. 4.
    Zhou, S., Pollard, J.K.: Position measurement using Bluetooth. IEEE Trans. Consum. Electron. 52(2), 555–558 (2006)CrossRefGoogle Scholar
  5. 5.
    Larranaga, J., et al.: An environment adaptive ZigBee-based indoor positioning algorithm. In: 2010 International Conference on Indoor Positioning and Indoor Navigation (IPIN). IEEE (2010)Google Scholar
  6. 6.
    Saab, S.S., Nakad, Z.S.: A standalone RFID indoor positioning system using passive tags. IEEE Trans. Ind. Electron. 58(5), 1961–1970 (2011)CrossRefGoogle Scholar
  7. 7.
    Lassabe, F., et al.: Refining WiFi indoor positioning renders pertinent deploying location-based multimedia guide. In: 20th International Conference on Advanced Information Networking and Applications-Volume 1 (AINA 2006), vol. 2. IEEE (2006)Google Scholar
  8. 8.
    Fujihara, A., Yanagizawa, T.: Proposing an extended iBeacon system for indoor route guidance. In: 2015 International Conference on Intelligent Networking and Collaborative Systems (INCOS). IEEE (2015)Google Scholar
  9. 9.
    Anagnostopoulos, G.G., Deriaz, M.: Accuracy enhancements in indoor localization with the weighted average technique. In: SENSORCOMM 2014, pp. 112–116 (2014)Google Scholar
  10. 10.
    Sugano, M., et al.: Indoor localization system using RSSI measurement of wireless sensor network based on ZigBee standard. In: Target, vol. 538, p. 050 (2006)Google Scholar
  11. 11.
    Gast, M.S.: Building Applications with iBeacon: Proximity and Location Services with Bluetooth Low Energy. O’Reilly Media Inc., Sebastopol (2014)Google Scholar
  12. 12.
    Marco, A., et al.: Bluetooth indoor localization with multiple neural networks. In: 5th IEEE International Symposium on Wireless Pervasive Computing (ISWPC). IEEE (2010)Google Scholar
  13. 13.
    Mazuelas, S., et al.: Robust indoor positioning provided by real-time RSSI values in unmodified WLAN networks. IEEE J. Sel. Topics Signal Process. 3(5), 821–831 (2009)MathSciNetCrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany 2017

Authors and Affiliations

  1. 1.School of Computer Science and TechnologyBeijing Institute of TechnologyBeijingChina

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