Skip to main content

Modeling Interpolated Distance Error for Clutter Based Location Estimation of Wireless Nodes

  • Conference paper
Book cover Digital Information and Communication Technology and Its Applications (DICTAP 2011)

Abstract

This research work is focusing on the location estimation by using interpolated distance calculation and its error in wireless nodes based on different clutters/terrains. This research is based on our previous findings in which we divided the clutter/terrain into thirteen different groups. As radio waves behave differently in different terrains therefore we recorded data points in all different terrains. C# program was used with WiFi (IEEE 802.11) prototype to record the behavioral changes in radio signals because of atmospheric attenuation. We took readings in all different clutters at a regular interval of 10 meters (from 10m to 150m). In current research, we are using linear interpolation to calculate the distances other than regular interval with minimal error rate. First, we calculate actual distance based on receive radio signals at random and then compare it with our interpolated distance and calculate the error. We take a sample size of four in each terrain and divide the interpolated data in six zones for accuracy. This comparison table helps to estimate the location of wireless node in different terrains/clutters with the error rate of as minimum as 0.5 meter.

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 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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. Kaplan, E., Hegarty, C.: Understanding GPS: Principles and Applications, 2nd edn. ISBN 1-58053-894-0

    Google Scholar 

  2. Laurendeau, C., Barbeau, M.: Insider attack attribution using signal strength-based hyperbolic location estimation. Security and Communication Networks 1, 337–349 (2008), doi:10.1002/sec.35

    Article  Google Scholar 

  3. Roos, T., Myllymäki, P., Tirri, H., Misikangas, P., Sievänen, J.: A Prob-abilistic Approach to WLAN User Location Estimation. International Journal of Wireless Information Networks 9(3), 155–164, doi:10.1023/A:1016003126882

    Google Scholar 

  4. Patwari, N., Hero III, A.O., Perkins, M., Correal, N.S., O’Dea, R.J.: Relative loca-tion estimation in wireless sensor networks” Signal Processing. IEEE Transactions 51(8), 2137–2148 (2003); ISSN: 1053-587X

    Article  Google Scholar 

  5. http://www.guardian.co.uk/world/2008/feb/27/ nokia .mobile phones

  6. EU Institutions Press Release, Commission Pushes for Rapid Deployment of Location Enhanced 112 Emergency Services. DN: IP/03/1122, Brussels (2003)

    Google Scholar 

  7. Muhammad, A., Mazliham, M.S., Boursier, P., Shahrulniza, M., Yusuf, M.J.C.: Location Estimation and Power Management of Cellular Nodes for rescue operation. ICET Kuala Lumpur, Malaysia, December 08-10 (2009)

    Google Scholar 

  8. Khalaf-Allah, M.: A Novel GPS-free Method for Mobile Unit Global Positioning in Outdoor Wireless Environments. Wireless Personal Communications Journal 44(3) (February 2008)

    Google Scholar 

  9. Gezici, S.: A Survey on Wireless Position Estimation. Wireless Personal Communications: An International Journal 44(3) (February 2008); ISSN: 0929-6212

    Google Scholar 

  10. Alam, M., Suud, M.M., Boursier, P., Musa, S., Yusuf, J.C.M.: Predicted and corrected location estimation of mobile nodes based on the combination of kalman filter and the bayesian decision theory. In: Cai, Y., Magedanz, T., Li, M., Xia, J., Giannelli, C. (eds.) Mobilware 2010. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol. 48, pp. 313–325. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  11. Dalela, P.K., Prasad, M.V.S.N., Mohan, A.: A New Method of Realistic GSM Network planning for Rural Indian Terrains. IJCSNS International Journal of Computer Science and Network Security 8(8) (August 2008)

    Google Scholar 

  12. Lecture notes on RF fundamentals Universitas Bina Darma, http://images.ilman zuhriyadi

  13. Integrated Publishing, Electrical Engineering Training Series, http://www.tpub.com/neets/book10/40c.htm

  14. Muhammad, A., Mazliham, M.S., Boursier, P., Shahrulniza, M., Mustapha, J.C.: Terrain/Clutter Based Error Calculation in Location Estimation of Wireless Nodes by using Receive Signal Strength. In: 2nd International Conference on Computer Technology and Development (ICCTD 2010), Cairo, Egypt, November 2-4 (2010); 2010 ISBN: 978-1-4244-8844-5

    Google Scholar 

  15. Muhammad, A., Mazliham, M.S., Boursier, P., Shahrulniza, M., Mustapha, J.C.: Clutter based Enhance Error Rate Table (CERT) for Error Correction in Location Estimation of Mobile Nodes. In: International Conference on Information and Computer Networks, ICICN 2011, Guiyang, China, January 26-28 (2011) IEEE Catalog Number: CFP1145M-PRT ISBN: 978-1-4244-9514-6

    Google Scholar 

  16. http://www.mathworks.com/moler/interp.pdf

  17. de Boor, C.: A Practical Guide to Splines. Springer, New York (1978)

    Book  MATH  Google Scholar 

  18. Dalela, P.K., Prasad, M.V.S.N., Mohan, A.: A New Method of Realistic GSM Network planning for Rural Indian Terrains. IJCSNS International Journal of Computer Science and Network Security 8(8) (August 2008)

    Google Scholar 

  19. Muhammad, A., Mazliham, M.S., Shahrulniza, M.: Power Management of Portable Devices by Using Clutter Based Information. IJCSNS, International Journal of Computer Science and Network Security 9(4), 237–244 (2009); ISSN: 1738-7906

    Google Scholar 

  20. Meng, Y.S., Lee, Y.H., Ng, B.C.: Study Of Propagation Loss Prediction In Forest Environment. Progress In Electromagnetics Research B 17, 117–133 (2009)

    Article  Google Scholar 

  21. Hellebrandt, M., Mathar, R., Scheibenbogen, M.: Estimating Position and Velocity of Mobiles in a Cellular Radio Network. IEEE Transactions On Vehicular Technology 46(1) (February 1997)

    Google Scholar 

  22. Tonteri, T., Sc Thesis, M.: A Statistical Modeling Approach to Location Estimation. Department of Computer Science University of Helsinki (May 25, 2001)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Alam, M., Mohd Su’ud, M., Boursier, P., Musa, S. (2011). Modeling Interpolated Distance Error for Clutter Based Location Estimation of Wireless Nodes. In: Cherifi, H., Zain, J.M., El-Qawasmeh, E. (eds) Digital Information and Communication Technology and Its Applications. DICTAP 2011. Communications in Computer and Information Science, vol 167. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22027-2_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-22027-2_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22026-5

  • Online ISBN: 978-3-642-22027-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics