Coverage Efficiency of Narrow-Band Wave Propagation in Mining Environments

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.

[1]  V. Rahmat-Samii,et al.  Genetic algorithms in engineering electromagnetics , 1997 .

[2]  Moïse Ndoh,et al.  A novel approach to propagation prediction in confined and diffracting rough surfaces , 2003 .

[3]  Gordon L. Stuber,et al.  Principles of Mobile Communication , 1996 .

[4]  G.Y. Delisle,et al.  Wireless mesh access point routing for efficient communication in underground mine , 2006, 2006 IEEE Antennas and Propagation Society International Symposium.

[5]  Martine Lienard,et al.  Theoretical and experimental approach of the propagation of high frequency waves in road tunnels , 1994 .

[6]  M. Salazar-Palma,et al.  A survey of various propagation models for mobile communication , 2003 .

[7]  P. McLane,et al.  Comparison of methods of computing lognormal sum distributions and outages for digital wireless applications , 1994, International Conference on Communications.

[8]  K. Pahlavan,et al.  A graphical indoor radio channel simulator using 2D ray tracing , 1992, [1992 Proceedings] The Third IEEE International Symposium on Personal, Indoor and Mobile Radio Communications.

[9]  C. Despins,et al.  Indoor location using received signal strength of IEEE 802.11b access point , 2005, Canadian Conference on Electrical and Computer Engineering, 2005..

[10]  L. Deryck,et al.  Natural propagation of electromagnetic waves in tunnels , 1978, IEEE Transactions on Vehicular Technology.

[11]  S. Affes,et al.  Radio-channel characterization of an underground mine at 2.4 GHz , 2005, IEEE Transactions on Wireless Communications.

[12]  M. Ndoh,et al.  Mining environment multi-media services characterization using propagation measurements , 2004, IEEE Antennas and Propagation Society Symposium, 2004..

[13]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[14]  Henry L. Bertoni,et al.  Path-loss prediction model for microcells , 1999 .