Skip to main content
SpringerLink
Log in

Cooperative Indoor Radio Environment Mapping in Ad-hoc Wireless Cognitive Networks

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

This paper presents a radio environment mapping method developed for use with ad-hoc wireless networks. Variations of the mapping algorithm were implemented in environment visualization office simulation platform developed in Matlab as a result of cooperation between Faculty of Electrical Engineering and Computing, University of Zagreb, Croatia, and Center for TeleInfrastruktur, University of Aalborg, Denmark. Mapping algorithm, theoretical background and variations, as well as the cooperative mapping scheme are described. Simulation results for environment mapping are given for several algorithm variations on the sample scenario with and without cooperative mapping protocols in order to optimize the algorithm. Mapping algorithm shows accurate results with 0.15 dB mean error and as low as 2.3 dB standard deviation. Cooperative mapping is shown to provide a clear advantage in both mapping speed and accuracy.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Mitola, J. (2000). Cognitive radio, Ph.D. dissertation, Royal Institute of Technology (KTH), Stockholm, Sweden.

  2. Chen K. C., Prasad R. (2009) Cognitive Radio Networks. Wiley, Amsterdam

    Book  Google Scholar 

  3. Sofasi-Jazi A., Riad S. M., Muqaibel A., Bayram A. (2002) Report on through the wall propagation and material characterization, time domain and RF measurement laboratory, Bradley Department of Electrical Engineering. Virginia Polytechnic Institute and State University Blacksburg, USA, pp 62–70

    Google Scholar 

  4. Hoppe, R., Wolfe, G., & Landstorfer, F. M. (1999). Measurement of Building Penetration Loss and Propagation Models for Radio Transmission into Buildings, In IEEE International conference on vehicular technology (pp. 2298–2302).

  5. Wolfe, G., & Landstorfer, L. M. (1998). Prediction of the field strength inside buildings with empirical, neural and ray-optical prediction models, European cooperation in the field of scientific and technical research, COST 259 project.

  6. Zrno, D., & Šimunić, D. (2006). Applicability of ray- and beam-tracing methods for indoor wireless network planning. The Mediterranean Journal of Computers and Networks (V-2, online).

  7. Kurokawa K. (1965) Power waves and the scattering matrix. IEEE Transactions on Microwave Theory and Techniques 13(2): 194–202

    Article  Google Scholar 

  8. Sofasi-Jazi A., Riad S. M., Muqaibel A., Bayram A. (2002) Report on through the wall propagation and material characterization, time domain and RF measurement laboratory, Bradley Department of Electrical Engineering. Virginia Polytechnic Institute and State University Blacksburg, USA, pp 62–70

    Google Scholar 

  9. Zhang, J., Nakhkash, M., & Huang, Y. (2001). In-situ characterisation of building materials. In IEEE 11th international conference on antennas and propagation (pp. 269–274).

  10. Huang Y., Nakhkash M. (1998) Characterization of layered dielectric medium using reflection coefficient. IEE Electronic Letters 34(12): 1207–1208

    Article  Google Scholar 

  11. Chen L. F., Ong C. K., Neo C. P., Varadan V. V., Varadan V. K. (2004) Microwave electronics, measurement and materials characterization. Wiley, England

    Book  Google Scholar 

  12. Zrno, D., Šimunić, D., & Roboz, M. (2004). Indoor propagation prediction software and WLAN measurements at 2.4 GHz. In Proceedings of Softcom 2004 (CD).

  13. Kleeman L., Kuc R. (1994) Mobile robot sonar for target localization and classification. International Journal of Robotics Research 14(4): 295–318

    Google Scholar 

  14. Bozma O., Kuc R. (1991) Building a sonar map in a specular environment using a single mobile sensor. IEEE Transactions on Pattern Analysis and Machine Intelligence 13(12): 1260–1269

    Article  Google Scholar 

  15. Davison A. J., Reid I., Molton N., Stasse O. (2007) MonoSLAM: Real-time single camera SLAM. IEEE Transactions on Pattern Analysis and Machine Intelligence 29: 1052–1067

    Article  Google Scholar 

  16. Bailey, T., Nieto, J., & Nebot, E. (2006). Consistency of the FastSLAM algorithm. In IEEE international conference on robotics and automation (ICRA), Orlando, Florida, USA.

  17. Graham L. C. (1974) Synthetic interferometer radar for topographic mapping. Proceedings of IEEE 62: 763–768

    Article  Google Scholar 

  18. Madsen S. N., Zebker H. A., Martin J. (1993) Topographic mapping using radar interferometry: Processing techniques. IEEE Transactions on Geoscience and Remote Sensing 31(I): 246–256

    Article  Google Scholar 

  19. Blanz J., Papathanassiou A., Haardt M., Fourió I., Baier P. (2000) ’Smart antennas for combined DOA and joint channel estimation in time-slotted CDMA mobile radio systems with joint detection. IEEE Transactions on Vehicular Technology 49(2): 293–306

    Article  Google Scholar 

  20. ArrayComm whitepaper, IntelliCell®: A fully adaptive approach to smart antennas, online: http://www.arraycomm.com/docs/intellicell.pdf .

  21. Giorgetti G., Cidronali A., Gupta S. K. S., Manes G. (2009) Single-anchor indoor localization using a switched-beam antenna. IEEE Communications Letters 13(1): 58–62

    Article  Google Scholar 

  22. Dissanayake, M. W. M. G., Paul, N. & Durrant-Whyte, H. F. (2001). A solution to the simultaneous localization and map building problem, IEEE Transactions on Robotics and Automation, 17(3).

  23. Castellanos J. A., Montiel J. M. M., Neira J., Tardos J. D. (2000) Sensor influence in the performance of simultaneous mobile robot localization and map building, Experimental Robotics IV. Springer, New York, pp 287–296

    Google Scholar 

  24. Dissanayake M. W. M. G., Newman P, Durrant-Whyte H. F., Clark S., Csorba M. (2000) An experimental and theoretical investigation into simultaneous localisation and map building. Experimental Robotics IV: 265–274

    Google Scholar 

  25. Zrno, D., Šimunić, D., & Prasad, R. (2010). Cooperative mapping in wireless cognitive networks. In Proceedings of 13th international symposium on wireless personal multimedia communications (WPMC 2010), Recife, Brazil, 2010, CD.

  26. Zrno D., Šimunić D., Prasad R. (2011) Optimizing cognitive ad-hoc wireless networks for green communications. Journal of Green Engineering 1(2): 209–227

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia

    Damir Zrno & Dina Šimunić

  2. Center for TeleInfrastruktur, University of Aalborg, Aalborg, Denmark

    Ramjee Prasad

Authors
  1. Damir Zrno
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Dina Šimunić
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Ramjee Prasad
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Damir Zrno.

Additional information

Part of this paper was presented at the 13th International Symposium on Wireless Personal Multimedia Communications (WPMC), Recife, Brazil, October 2010.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Zrno, D., Šimunić, D. & Prasad, R. Cooperative Indoor Radio Environment Mapping in Ad-hoc Wireless Cognitive Networks. Wireless Pers Commun 64, 107–122 (2012). https://doi.org/10.1007/s11277-012-0520-y

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-012-0520-y

Keywords

Search

Navigation