Connectivity Evaluation in Random Wireless Multihop Networks under Inverse Gaussian Shadowing Channels
Conference: European Wireless 2014 - 20th European Wireless Conference
05/14/2014 - 05/16/2014 at Barcelona, Spain
Proceedings: European Wireless 2014
Pages: 6Language: englishTyp: PDF
Personal VDE Members are entitled to a 10% discount on this title
Authors:
Pitsiladis, Giorgos T.; Kourogiorgas, Charilaos I.; Panagopoulos, Athanasios D. (Mobile Radio Communication Laboratory, School of Electrical and Computer Engineering, National Technical University of Athens, Iroon Polytechniou 9, Athens, Zografou, 15780, Greece)
Abstract:
In this paper, a recent new metric for the connectivity evaluation in finite wireless networks is employed and properly modified in order to calculate the connected probability under Inverse Gaussian (IG) correlated shadowing channels. This metric is based on spanning trees and can incorporate the impact of fading channels in connectivity assessment. In addition, a new model based on Inverse Gaussian and Bivariate Inverse Gaussian distribution is proposed for approximating the statistical behavior of Signal-to-Noise ratio (SNR) for both uncorrelated and correlated channels respectively. It is worth mentioning that IG distribution is used for the first time in connectivity evaluation models. In the proposed methodology the random structure of a real wireless multi-hop network is also taken under consideration. Finally, the connectivity performance is investigated under the proposed methodology.