Joseph S. Ojo and Vincent A. Akpan and Oladayo G. Ajileye and Olalekan L and Ojo
QoS Improvement Using Intelligent Algorithm under Dynamic Tropical Weather for EarthSpace Satellite Applications
1099 - 1105
2017
11
9
International Journal of Computer and Information Engineering
https://publications.waset.org/pdf/10008802
https://publications.waset.org/vol/129
World Academy of Science, Engineering and Technology
In this paper, the intelligent algorithm (IA) that is capable of adapting to dynamical tropical weather conditions is proposed based on fuzzy logic techniques. The IA effectively interacts with the quality of service (QoS) criteria irrespective of the dynamic tropical weather to achieve improvement in the satellite links. To achieve this, an adaptive networkbased fuzzy inference system (ANFIS) has been adopted. The algorithm is capable of interacting with the weather fluctuation to generate appropriate improvement to the satellite QoS for efficient services to the customers. 5year (20122016) rainfall rate of oneminute integration time series data has been used to derive fading based on ITUR P. 61812 propagation models. The data are obtained from the measurement undertaken by the Communication Research Group (CRG), Physics Department, Federal University of Technology, Akure, Nigeria. The rain attenuation and signaltonoise ratio (SNR) were derived for frequency between Ku and Vband and propagation angle with respect to different transmitting power. The simulated results show a substantial reduction in SNR especially for application in the area of digital video broadcastsecond generation coding modulation satellite networks.
Open Science Index 129, 2017