Share This Article:

Indoor Radio Propagation Model Based on Dominant Path

Abstract Full-Text HTML Download Download as PDF (Size:2154KB) PP. 330-337
DOI: 10.4236/ijcns.2010.33042    5,618 Downloads   11,137 Views   Citations

ABSTRACT

When there are bigger obstacles in the indoor environment such as elevator, the radio waves basically can not penetrate it. The contribution of received signal strength by transmission and reflection will be greatly reduced, and most of the time, the radio waves will reach the user by bypass diffraction. Therefore, the traditional path loss model is no longer applicable, and the improved model should be proposed. In this paper, we firstly proposed an indoor radio propagation model based on dominant path in which the received signal strength has nothing to do with the direct distance between user and access point, but is related to the length of dominant path. Then on the basis of dominant path model, the NLOS influence is considered in order to further improve the accuracy of dominant path model. Experimental results demonstrated that the proposed dominant path model can improve the accuracy of traditional path loss model remarkably.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

Y. Zhao, M. Li and F. Shi, "Indoor Radio Propagation Model Based on Dominant Path," International Journal of Communications, Network and System Sciences, Vol. 3 No. 3, 2010, pp. 330-337. doi: 10.4236/ijcns.2010.33042.

References

[1] IEEE P802.11 Working Group, “Changes and additions to IEEE 802.11,” 1999 Edition, January 2000.
[2] J. Caffery Jr. and G. Stuber, “Overview of radiolocation in CDMA cellular systems,” IEEE Communications Magazine, April 1998.
[3] M. A. Youssef, A. Agrawala, A. U. Shankar, and S. H. Noh, “A probabilistic clustering-based indoor location determination system,” Technical Report CS-TR-4350 and UMIACS-TR-20002-30, University of Maryland, 2002.
[4] T. S Rappaport, “Wireless communications principles and practices [M],” Second Edition, Publishing House of Electronics Industry, 2004.
[5] Y. X. Zhao, H. B. Zhou, M. F. Li, “Indoor access points location optimization using differential evolution,” In International Conference on Computer Science and Software Engineering, CSSE ’08, IEEE Computer Society, pp. 382–385, 2008.

  
comments powered by Disqus

Copyright © 2019 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.