Skip to main content
SpringerLink
Log in

Localization of a Mobile Node Using Fingerprinting in an Indoor Environment

  • Conference paper
  • First Online:
Communications, Signal Processing, and Systems (CSPS 2018)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 516))

  • 2184 Accesses

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  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. Bahl P, Padmanabhan VN. RADAR: an in-building RF-based user location and tracking system. In: IEEE INFOCOM 2000, 2000.

    Google Scholar 

  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. 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. 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. 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. Rappaport TS. Wireless communications: principles and practice. New Delhi: Prentice-Hall of India; 2003.

    Google Scholar 

Download references

Acknowledgments

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

Author information

Authors and Affiliations

  1. School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, 150001, China

    Sohaib Bin Altaf Khattak & Min Jia

  2. National University of Sciences and Technology, Islamabad, Pakistan

    Mir Yasir Umair & Attiq Ahmed

Authors
  1. Sohaib Bin Altaf Khattak
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Min Jia
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Mir Yasir Umair
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Attiq Ahmed
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Min Jia .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, University of Texas at Arlington, Arlington, TX, USA

    Qilian Liang

  2. School of Information and Communication Engineering, Dalian University of Technology, Dalian, China

    Xin Liu

  3. School of Information Science and Technology, Dalian Maritime University, Dalian, China

    Zhenyu Na

  4. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Wei Wang

  5. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Jiasong Mu

  6. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Baoju Zhang

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Khattak, S.B.A., Jia, M., Umair, M.Y., Ahmed, A. (2020). Localization of a Mobile Node Using Fingerprinting in an Indoor Environment. In: Liang, Q., Liu, X., Na, Z., Wang, W., Mu, J., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2018. Lecture Notes in Electrical Engineering, vol 516. Springer, Singapore. https://doi.org/10.1007/978-981-13-6504-1_129

Download citation

  • DOI: https://doi.org/10.1007/978-981-13-6504-1_129

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-6503-4

  • Online ISBN: 978-981-13-6504-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation