Skip to main content
SpringerLink
Log in

Simultaneous Indoor Localization Based on Wi-Fi RSS Fingerprints

  • Conference paper
  • First Online:
Advances of Science and Technology (ICAST 2021)

Included in the following conference series:

  • 872 Accesses

Abstract

Indoor localization has been extensively investigated over the last few decades, especially in the industrial area of wireless sensor networks. For indoor positioning, many techniques have been proposed over the Wi-Fi signal’s deployment. Wi-Fi Received Signal Strength (RSS) fingerprinting approach especially the deterministic algorithms have received much attention. However, as the deterministic algorithms use RSS of the test point (TP) by ignoring the other TPs, two or more TPs will take the same location while physically far apart, and the reverse can also be true. Thus, to improve positioning accuracy, this study proposes Wi-Fi RSS fingerprint based simultaneous indoor localization (SIL). The proposed approach was tested on the data collected from Huazhong University of Science and Technology teaching buildings. Experimental results show error reduction upto 9.8%, and 13.2% in MDE (Mean Distance Error) and standard deviation, respectively.

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 89.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 119.99
Price excludes VAT (USA)
  • Compact, lightweight 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. Aggarwal, C.C., Hinneburg, A., Keim, D.A.: On the surprising behavior of distance metrics in high dimensional space. In: Van den Bussche, J., Vianu, V. (eds.) ICDT 2001. LNCS, vol. 1973, pp. 420–434. Springer, Heidelberg (2001). https://doi.org/10.1007/3-540-44503-X_27

    Chapter  Google Scholar 

  2. Beder, C., Klepal, M.: Fingerprinting based localisation revisited: a rigorous approach for comparing RSSI measurements coping with missed access points and differing antenna attenuations. In: 2012 International Conference on Indoor Positioning and Indoor Navigation (IPIN), pp. 1–7. IEEE (2012)

    Google Scholar 

  3. Belmonte-Hernández, A., Hernández-Peñaloza, G., Alvarez, F., Conti, G.: Adaptive fingerprinting in multi-sensor fusion for accurate indoor tracking. IEEE Sens. J. 17(15), 4983–4998 (2017)

    Article  Google Scholar 

  4. Buehrer, R.M., Wymeersch, H., Vaghefi, R.M.: Collaborative sensor network localization: algorithms and practical issues. Proc. IEEE 106(6), 1089–1114 (2018)

    Article  Google Scholar 

  5. Chan, L., Chiang, J., Chen, Y., Ke, C., Hsu, J., Chu, H.: collaborative localization: enhancing WiFi-based position estimation with neighborhood links in clusters. In: Fishkin, K.P., Schiele, B., Nixon, P., Quigley, A. (eds.) Pervasive 2006. LNCS, vol. 3968, pp. 50–66. Springer, Heidelberg (2006). https://doi.org/10.1007/11748625_4

    Chapter  Google Scholar 

  6. Gu, F., Niu, J., Duan, L.: Waipo: a fusion-based collaborative indoor localization system on smartphones. IEEE/ACM Trans. Networking 25(4), 2267–2280 (2017)

    Article  Google Scholar 

  7. Hamaoui, M.: Non-iterative MDS method for collaborative network localization with sparse range and pointing measurements. IEEE Trans. Signal Proc. 67(3), 568–578 (2018)

    Article  MathSciNet  Google Scholar 

  8. He, S., Chan, S.-H.G.: Wi-fi fingerprint-based indoor positioning: recent advances and comparisons. IEEE Commun. Surv. Tutorials 18(1), 466–490 (2015)

    Article  Google Scholar 

  9. He, S., Chan, S.-H. G., Yu, L., Liu, N.: Fusing noisy fingerprints with distance bounds for indoor localization. In: 2015 IEEE Conference on Computer Communications (INFOCOM), pp. 2506–2514. IEEE (2015)

    Google Scholar 

  10. Jung, S.-H., Han, D.: Automated construction and maintenance of Wi-Fi radio maps for crowdsourcing-based indoor positioning systems. IEEE Access 6, 1764–1777 (2017)

    Article  Google Scholar 

  11. Kampis, G., Kantelhardt, J.W., Kloch, K., Lukowicz, P.: Analytical and simulation models for collaborative localization. J. Comput. Sci. 6, 1–10 (2015)

    Article  Google Scholar 

  12. Koneru, A., Li, X., Varanasi, M.: Comparative study of RSS-based collaborative localization methods in sensor networks. In: 2006 IEEE Region 5 Conference, pp. 243–248. IEEE (2006)

    Google Scholar 

  13. Kotwal, S., Verma, S., Sharma, A., et al.: Region based collaborative angle of arrival localization for wireless sensor networks with maximum range information. In: 2010 International Conference on Computational Intelligence and Communication Networks, pp. 301–307. IEEE (2010)

    Google Scholar 

  14. Li, Z., Zhao, X., Liang, H.: Automatic construction of radio maps by crowdsourcing PDR traces for indoor positioning. In: 2018 IEEE International Conference on Communications (ICC), pp. 1–6. IEEE (2018)

    Google Scholar 

  15. Liu, H., et al.: Push the limit of wifi based localization for smartphones. In: Proceedings of the 18th Annual International Conference on Mobile Computing and Networking, pp. 305–316 (2012)

    Google Scholar 

  16. Liu, X., Cen, J., Zhan, Y., Tang, C.: An adaptive fingerprint database updating method for room localization. IEEE Access 7, 42626–42638 (2019)

    Article  Google Scholar 

  17. Mair, N., Mahmoud, Q.H.: A collaborative bluetooth-based approach to localization of mobile devices. In: 8th International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom), pp. 363–371. IEEE (2012)

    Google Scholar 

  18. Noh, Y., Yamaguchi, H., Lee, U.: Infrastructure-free collaborative indoor positioning scheme for time-critical team operations. IEEE Trans. Syst. Man Cybern. Syst. 48(3), 418–432 (2016)

    Article  Google Scholar 

  19. Sadhu, V., Pompili, D., Zonouz, S., Sritapan, V.: Collabloc: privacy-preserving multi-modal localization via collaborative information fusion. In: 2017 26th International Conference on Computer Communication and Networks (ICCCN), pp. 1–9. IEEE (2017)

    Google Scholar 

  20. Wang, W., Bai, P., Zhou, Y., Liang, X., Wang, Y.: Optimal configuration analysis of AOA localization and optimal heading angles generation method for UAV swarms. IEEE Access 7, 70117–70129 (2019)

    Article  Google Scholar 

  21. Wu, Z., Zhou, Y., Wang, X., Zhu, J., Xue, L.: Location accuracy on collaborative positioning in wireless sensor networks. In: 2014 9th IEEE Conference on Industrial Electronics and Applications, pp. 738–742. IEEE (2014)

    Google Scholar 

  22. Xu, L., Yao, L., He, J., Wang, P., Long, K., Wang, Q.: Collaborative geolocation based on imprecise initial coordinates for internet of things. IEEE Access 6, 48850–48858 (2018)

    Article  Google Scholar 

  23. Zhang, C., Han, G., Jiang, J., Shu, L., Liu, G., Rodrigues, J.J.: A collaborative localization algorithm for underwater acoustic sensor networks. In: 2014 International Conference on Computing, Management and Telecommunications (ComManTel), pp. 211–216. IEEE (2014)

    Google Scholar 

  24. Zhao, P., Jiang, C., Chen, H., Ren, Y.: Probabilistic neural network for RSS-based collaborative localization. In: 2012 IEEE 75th Vehicular Technology Conference (VTC Spring), pp. 1–5. IEEE (2012)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Information and Communication Engineering, Huazhong University of Science and Technology, Wuhan, 430074, Hubei, China

    Nooria Rafie & Bang Wang

Authors
  1. Nooria Rafie
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Bang Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Nooria Rafie .

Editor information

Editors and Affiliations

  1. Bahir Dar Institute of Technology, Faculty of Civil and Water Resource Engineering, Bahir Dar University, Bahir Dar, Ethiopia

    Mulatu Liyew Berihun

Rights and permissions

Reprints and permissions

Copyright information

© 2022 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Rafie, N., Wang, B. (2022). Simultaneous Indoor Localization Based on Wi-Fi RSS Fingerprints. In: Berihun, M.L. (eds) Advances of Science and Technology. ICAST 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 411. Springer, Cham. https://doi.org/10.1007/978-3-030-93709-6_25

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-93709-6_25

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-93708-9

  • Online ISBN: 978-3-030-93709-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation