Utilize este identificador para referenciar este registo: http://hdl.handle.net/10071/26532
Autoria: Fonseca, P.
Cancela, L.
Rebola, J.
Data: 2022
Título próprio: Performance analysis of a graph coloring algorithm for wavelength assignment in dynamic optical networks
Título e volume do livro: 2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP)
Paginação: 534 - 539
Título do evento: 13th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2022
Referência bibliográfica: Fonseca, P., Cancela, L. & Rebola, J. (2022). Performance analysis of a graph coloring algorithm for wavelength assignment in dynamic optical networks. In 13th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2022 (pp. 534-539). IEEE. https://doi.org/10.1109/CSNDSP54353.2022.9907985
ISBN: 978-1-6654-1044-1
DOI (Digital Object Identifier): 10.1109/CSNDSP54353.2022.9907985
Palavras-chave: Dynamic optical networks
Graph coloring
Routing and wavelength assignment
Small-buckets algorithm
Resumo: In the near future (5 to 10 years), dynamic optical networks will be crucial in global optical communications in order to respond to the fast growing of on-demand services. Routing and wavelength assignment (RWA) planning tools must be developed to effectively deal with the dynamic scenarios requirements. In this work, a simulation tool for RWA in dynamic optical networks was developed and wavelength assignment (WA) was implemented, through a recently proposed graph coloring algorithm, named Small-Buckets algorithm, that allows recolorings to occur. Several fiber based networks have been studied and it has been concluded that the Small-Buckets algorithm originates lower blocking probabilities than the ones obtained with the First fit algorithm. However, to reach this improved performance, the Small-Bucket algorithm requires a larger number of wavelengths and recolorings.
Arbitragem científica: yes
Acesso: Acesso Aberto
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