Use este identificador para citar ou linkar para este item: https://repositorio.ufpa.br/jspui/handle/2011/6294
Tipo: Artigo de Periódico
Data do documento: Jun-2014
Autor(es): MIRANDA, André Moacir Lage
LIMA, Fabio de Oliveira
ROCHA, Helder Roberto de Oliveira
VIJAYKUMAR, Nandamudi Lankalapalli
FRANCÊS, Carlos Renato Lisboa
SEGATTO, Marcelo Eduardo Vieira
COSTA, João Crisóstomo Weyl Albuquerque
Título: Wavelength assignment using a hybrid evolutionary computation to reduce cross-phase modulation
Citar como: MIRANDA, André M. L. et al. Wavelength assignment using a hybrid evolutionary computation to reduce cross-phase modulation. Journal of Microwaves, Optoelectronics and Electromagnetic Applications, São Caetano do Sul, v. 13, n. 1, p. 1-15, jan./jun. 2014. Disponível em: <http://www.scielo.br/pdf/jmoea/v13n1/a01v13n1.pdf>. Acesso em: 05 fev. 2015. <http://dx.doi.org/10.1590/S2179-10742014000100001>.
Abstract: In this paper, we propose a hybrid methodology based on Graph-Coloring and Genetic Algorithm (GA) to solve the Wavelength Assignment (WA) problem in optical networks, impaired by physical layer effects. Our proposal was developed for a static scenario where the physical topology and traffic matrix are known a priori. First, we used fixed shortest-path routing to attend demand requests over the physical topology and the graph-coloring algorithm to minimize the number of necessary wavelengths. Then, we applied the genetic algorithm to solve WA. The GA finds the wavelength activation order on the wavelengths grid with the aim of reducing the Cross-Phase Modulation (XPM) effect; the variance due to the XPM was used as a function of fitness to evaluate the feasibility of the selected WA solution. Its performance is compared with the First-Fit algorithm in two different scenarios, and has shown a reduction in blocking probability up to 37.14% when considered both XPM and residual dispersion effects and up to 71.42% when only considered XPM effect. Moreover, it was possible to reduce by 57.14% the number of wavelengths.
Palavras-chave: Modulação de fase cruzada
Redes ópticas
Algoritmos genéticos
Computação evolutiva
ISSN: 2179-1074
Tipo de Acesso: Acesso Aberto
Aparece nas coleções:Artigos Científicos - ITEC

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