Skip to main content

Impact of Signal Representations on the Performance of Hierarchical WiFi Localization Systems

  • Conference paper
Computer Aided Systems Theory - EUROCAST 2013 (EUROCAST 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8112))

Included in the following conference series:

  • 1920 Accesses

Abstract

In this paper, different representations of WiFi access point signal information are tested on a hierarchical indoors localization system to identify the one that yields the least amount of localization error. Four representations were considered: Received Signal Strength (RSS) in dBm, RSS in mW, Visibility and both RSS in dBm and Visibility. The localization system was tested in two different real world environments and encouraging results were obtained for the combination of RSS in dBm and Visibility. The results point to increased accuracy in localization, especially in environments where signal is greatly distorted by the multipath effect.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Bahl, P., Padmanabhan, V.: RADAR: An in-building RF-based user location and tracking system. In: Proceedings of the IEEE Computer and Communications Societies, pp. 775–784 (2000)

    Google Scholar 

  2. Barber, R., Mata, M., Boada, M., Armingol, J., Salichs, M.: A perception system based on laser information for mobile robot topologic navigation. In: IEEE Annual Conference of the Industrial Electronics Society, vol. 4, pp. 2779–2784 (2002)

    Google Scholar 

  3. Cohen, W.W.: Fast effective rule induction. In: Proceedings of the International Conference on Machine Learning, pp. 115–123. Morgan Kaufmann (1995)

    Google Scholar 

  4. Cortes, C., Vapnik, V.: Support-vector networks. In: Machine Learning, pp. 273–297 (1995)

    Google Scholar 

  5. Enge, P., Misra, P.: Special issue on GPS: The global positioning system. Proceedings of the IEEE 87, 3–172 (1999)

    Article  Google Scholar 

  6. Hernández, N., Alonso, J.M., Magro, M., Ocaña, M.: Hierarchical WiFi localization system. In: International Workshop on Perception in Robotics, IEEE Intelligent Vehicles Symposium, pp. P21.1–P21.6 (2012)

    Google Scholar 

  7. Hühn, C., Hüllermeier, E.: FURIA: An algorithm for unordered fuzzy rule induction. Data Mining and Knowledge Discovery 19, 293–319 (2009)

    Article  MathSciNet  Google Scholar 

  8. Kibler, D., Aha, D.: Learning representative exemplars of concepts: an initial case study. In: Proceedings of the International Workshop on Machine Learning, pp. 24–30 (1987)

    Google Scholar 

  9. Krumm, J., Harris, S., Meyers, B., Brumitt, B., Hale, M., Shafer, S.: Multi-camera multi-person tracking for easyliving. In: Proceedings of the IEEE International Workshop on Visual Surveillance, pp. 3–10 (2000)

    Google Scholar 

  10. Parodi, B., Lenz, H., Szabo, A., Wang, H., Horn, J., Bamberger, J., Obradovic, D.: Initialization and online-learning of RSS maps for indoor / campus localization. In: IEEE/ION Proceedings of the Position, Location, And Navigation Symposium, pp. 164–172 (2006)

    Google Scholar 

  11. Priyantha, N.B., Chakraborty, A., Balakrishnan, H.: The cricket location-support system. In: Proceedings of the Annual International Conference on Mobile Computing and Networking, pp. 32–43 (2000)

    Google Scholar 

  12. Want, R., Hopper, A., Falco, V., Gibbons, J.: The active badge location system. ACM Transactions on Information Systems 10, 91–102 (1992)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Hernández, N., Alonso, J.M., Ocaña, M., Marina, M.K. (2013). Impact of Signal Representations on the Performance of Hierarchical WiFi Localization Systems. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory - EUROCAST 2013. EUROCAST 2013. Lecture Notes in Computer Science, vol 8112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-53862-9_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-53862-9_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-53861-2

  • Online ISBN: 978-3-642-53862-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics