Loading

2.4 GHz Propagation Prediction Models for Indoor Wireless Communications Within Building
B. R. Jadhavar1, T. R. Sontakke2

1Prof. B. R. Jadhavar, Departmant of Electronic &Telecommunication, Siddhant College of Engineering, University of Pune, India.
2Dr. T. R. Sontakke, Depatment of Electronics Engineering, Siddhant College of Engineering, University of Pune, Pune, India.

Manuscript received on July 01, 2012. | Revised Manuscript received on July 04, 2012. | Manuscript published on July 05, 2012. | PP: 108-113 | Volume-2, Issue-3, July 2012. | Retrieval Number: C0709052312 /2012©BEIESP
Open Access | Ethics and Policies | Cite 
© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Different propagation models are presented for multi-storied Quantitative models aural area, that predicts effect of wall partitions, number of floors and building layout at 2.4 GHz using IEEE802.11b wireless network. Propagation models have been developed for these two buildings based on number of floors between transmitter and receiver. These models are indoor location detection system designer which relate signal strength log of distance. The measurement shows that the standard deviation between measured and predicted path loss is 12.4124 dB for all locations in one building and as small as 8.0948 dB on same floor. And in other building it is 10.2854 dB and minimum 8.5454 dB for same floor measurements. Floor attenuation factor for two buildings are 18.0304 dB and 28.5687 dB when transmitter and receivers have one floor in-between. The concrete wall attenuation factor was found to be 4.86 dB and hard board partition attenuation factor was 2.45 dB. Also contour plots for equal signal strength for measured data are presented. The results are quite logical as per building structure/layout.

Keywords: WLAN, propagation model, free space, path loss model, floor attenuation factor, signal strength, contour plot.