Advertisement

Localization of a Mobile Node Using Fingerprinting in an Indoor Environment

  • Sohaib Bin Altaf Khattak
  • Min JiaEmail author
  • Mir Yasir Umair
  • Attiq Ahmed
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 516)

Abstract

Localization is an important requirement in today’s world, and numerous modern applications require location tracking. An indoor localization of a mobile node using the range-free fingerprinting technique in WLAN environment is presented. The work focuses on improvement in the accuracy of localization using some additional parameters in the fingerprint, along with the conventional received signal strength (RSS). ToA has been used to enrich the fingerprint data for more unique fingerprints. The impact of AP placement on localization accuracy is also addressed. In this paper, a technique is proposed that is not complex to implement using existing infrastructure and is also easy to understand. Significant improvement has been achieved from about 20 to 40% in different scenarios including line of sight and non-light of sight scenarios, small and large areas.

Keywords

Indoor localization WLAN AP placement LBS for IoT 

Notes

Acknowledgments

This work was supported by the National Science Foundations of China (No.61671183 and 61771163).

References

  1. 1.
    Liu H, Darabi H, Banerjee P, Liu J. Survey of wireless indoor positioning techniques and systems. Ieee Trans Syst Man Cybern Part C: Appl Rev. 2007;37(6):6.Google Scholar
  2. 2.
    Bahl P, Padmanabhan VN. RADAR: an in-building RF-based user location and tracking system. In: IEEE INFOCOM 2000, 2000.Google Scholar
  3. 3.
    Torteeka P, Chundi X, Dongkai Y. Hybrid Technique for indoor positioning system based on wi-fi received signal strength indication. In: 2014 international conference on indoor positioning and indoor navigation, 27th–30th October, 2014.Google Scholar
  4. 4.
    Machaj J, Brida P. Using of GSM and wi-fi signals for indoor positioning based on fingerprinting algorithms. Inf Commun Technol Serv. 2015;13(3).Google Scholar
  5. 5.
    Chen Y, Francisco J-A, Trappe W, Martin RP. A Practical approach to landmark deployment for indoor localization IEEE SECON 2006 proceedings.Google Scholar
  6. 6.
    Youssef M, Agrawala A. The horus WLAN location determination system. In: MobiSys05: proceedings of the 3rd international conference on Mobile systems, applications and servicesl, USA; 2005. p. 205–18.Google Scholar
  7. 7.
    Rappaport TS. Wireless communications: principles and practice. New Delhi: Prentice-Hall of India; 2003.Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Sohaib Bin Altaf Khattak
    • 1
  • Min Jia
    • 1
    Email author
  • Mir Yasir Umair
    • 2
  • Attiq Ahmed
    • 2
  1. 1.School of Electronics and Information EngineeringHarbin Institute of TechnologyHarbinChina
  2. 2.National University of Sciences and TechnologyIslamabadPakistan

Personalised recommendations