Skip to main content
SpringerLink
Log in
Book cover

Robot Intelligence Technology and Applications 2 pp 95–104Cite as

A Convex Fuzzy Range-Free Sensor Network Localization Method

  • Chapter

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 274))

Abstract

We propose a new fuzzy range-free sensor localization methodology, using certain Euclidean notions to build convex fuzzy sets and circumvent multiple stable local minima issues, encountered in some recent range-free localization approaches. A range-free localization algorithm is developed based on the proposed methodology. Performance of the developed algorithm is tested via a set of simulations, comparatively to some recent fuzzy range-free localization algorithms in the literature.

This is a preview of subscription content, 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 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

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Han, G., Xu, H., Duong, T., Jiang, J., Hara, T.: Localization algorithms of wireless sensor networks: a survey. Telecommunication Systems 47(3-4), 1–18 (2011)

    Google Scholar 

  2. Zekavat, S., Buehrer, R. (eds.): Handbook of Position Location. IEEE Press/Wiley (2012)

    Google Scholar 

  3. Mao, G., Fidan, B.: Localization algorithms and strategies for wireless sensor networks. Information Science Reference. IGI Publishing (2009)

    Google Scholar 

  4. Velimirovic, S., Djordjevic, G., Velimirovic, M., Jovanovic, M.: Fuzzy ring-overlapping range-free (FRORF) localization method for wireless sensor network. Computer Communications 35(13), 1590–1600 (2012)

    Article  Google Scholar 

  5. Liu, C., Scott, T., Wu, K., Hoffman, D.: Range-free sensor localization with ring overlapping based on comparison of received signal strength indicator. International Journal of Sensor Networks (IJSNet) 2(5), 399–413 (2007)

    Article  Google Scholar 

  6. Velimirovic, S., Djordjevic, G., Velimirovic, M., Jovanovic, M.: A fuzzy set-based approach to range-free localization in wireless sensor networks. Facta Univ. Ser.: Elec. Energ. (2010)

    Google Scholar 

  7. Sanford, J., Slijepcevic, S., Potkonjak, M.: Localization in wireless networks: foundations and applications. Springer (2012)

    Google Scholar 

  8. Fidan, B., Kiraz, F.: On convexification of range measurement based sensor and source localization problems. ArXiv, 1310.7042 (2013)

    Google Scholar 

  9. He, T., Krishnamurthy, S., Stankovic, J., Abdelzaher, T., Luo, L., Stoleru, R., Yan, T., Gu, L.: Energy-efficient surveillance system using wireless sensor networks. In: Mobisys, pp. 270–283. ACM Press (2004)

    Google Scholar 

  10. Karray, F., Silva, C.: Soft Computing and Intelligent Systems Design. Addison Wesley (2004)

    Google Scholar 

  11. Johnson, R.: Advanced Euclidean Geometry. Dover Publications (2007)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Engineering, University of Waterloo, Waterloo, ON, N2L 3G1, Canada

    Fatma Kiraz, Barış Fidan & Fakhri Karray

Authors
  1. Fatma Kiraz
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Barış Fidan
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Fakhri Karray
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Electrical Engineering, KAIST, Daejeon, Korea, Republic of (South Korea)

    Jong-Hwan Kim

  2. Computer and Information Technology, Purdue University, West Lafayette, Indiana, USA

    Eric T . Matson

  3. Civil and Environmental Engg., KAIST, Daejeon, Korea, Republic of (South Korea)

    Hyun Myung

  4. Department of Mechanical Engineering, Auckland University, Auckland, New Zealand

    Peter Xu

  5. University of Waterloo, Waterloo, Ontario, Canada

    Fakhri Karray

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Kiraz, F., Fidan, B., Karray, F. (2014). A Convex Fuzzy Range-Free Sensor Network Localization Method. In: Kim, JH., Matson, E., Myung, H., Xu, P., Karray, F. (eds) Robot Intelligence Technology and Applications 2. Advances in Intelligent Systems and Computing, vol 274. Springer, Cham. https://doi.org/10.1007/978-3-319-05582-4_8

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-05582-4_8

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-05581-7

  • Online ISBN: 978-3-319-05582-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation