Title :
Coverage Efficiency of Narrow-Band Wave Propagation in Mining Environments
Author :
Moutairou, M. ; Delisle, G.Y. ; Aniss, H. ; Misson, Michel
Author_Institution :
Underground Commun. Res. Lab., Quebec Univ. in Abitibi-Temiscamingue, Val-d´´Or, QC
fDate :
5/1/2009 12:00:00 AM
Abstract :
This paper presents statistical and experimental analyses of narrow-band wave propagation at 2.4 GHz in an underground gallery. The aim of this study is to address the deployment issues associated with wireless communication systems of Wi-Fi wireless access points and their coverage. A genetic algorithm is used to produce all the numerical results present in this paper. Four known statistical models based on different cumulative distribution functions are used to compare these results with those obtained from experimentally. The models are applied to two different galleries in an underground area. Two performance evaluation criteria, the mean square error (MSE) and the Kolmogorov-Smirnov test, are used to comparatively assess models´ efficiency. These are the MSE and the Kolmogorov-Smirnov test.
Keywords :
genetic algorithms; indoor radio; mean square error methods; radio access networks; radiowave propagation; statistical analysis; wireless LAN; Kolmogorov-Smirnov test; Wi-Fi wireless access points; coverage efficiency; cumulative distribution functions; frequency 2.4 GHz; genetic algorithm; mean square error; mining environments; narrow-band wave propagation; statistical analyses; underground gallery; wireless communication systems; Computational modeling; Distribution functions; Electromagnetic propagation; Genetic algorithms; Mean square error methods; Mobile communication; Narrowband; Physics computing; Testing; Wireless communication; 802.11b wireless protocol; Kolmogorov–Smirnov test; Wi-Fi access points; genetic algorithm (GA); mean square error (MSE); propagation; statistical models; underground mine;
Journal_Title :
Electromagnetic Compatibility, IEEE Transactions on
DOI :
10.1109/TEMC.2009.2014859
