Aplicação de metaheurísticas para parametrização do módulo IPTV da plataforma de convergência digital - DIGICONV

Abstract

With the advent of the Internet, combined with the constant evolution of the broadband distribution technologies, along with the public increasingly demanding, IPTV (Internet Protocol Television) arises. Currently, there are several studies on how to improve the distribution of content through a variety of devices available in the market, such as Digital TV, Tablets and Smartphones. This paper presents a computational tool based on a mathematical model to optimize IPTV module parameters of a Digital Convergence Platform (DIGICONV). This software tool is based on applications of metaheuristics Tabu Search and Genetic Algorithm in order to achieve improvements in all segments of the transmission, and to identify the reasons for a possible system overload, when there is not enough available bandwidth to meet all customers through specific settings in the input parameters are: the transmission rate (Tt), the video quality (Qv), audio quality (Qa), the types of customers (Tc), the bandwidth of client (Lb) and the amount of available bandwidth (BD). The results of this study showed that both the tabu search and the genetic algorithm achieved satisfactory results and optimized, with increasing Objective Function, attesting to its effectiveness.