Wavelength assignment in WDM networks with sparse-partial wavelength conversion

Ever-increasing traffic in the long-haul networks called for WDM-based transmission, all the more when compared to the metro and access segments. Further, although the interconnected WDM rings served the needs of long-haul networks for some time, mesh-connected WDM networks appeared as a natural and more effective solution, with enhanced connectivity and resilience against network failures. In this chapter, we first examine the basic design challenges and the candidate node configurations for WRON-based mesh networks. Next we present various offline design methodologies for this class of networks using LP-based and heuristic schemes. Impact of wavelength conversion (WC) in mesh-configured WRONs is also examined by using analytical models, and the gain in bandwidth utilization is assessed in WRONs with full WC as compared to those without any WC. Finally, we examine some online routing and wavelength assignment schemes that can be used for operational WRONs. (143 words)

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Multicast Wavelength Assignment for Sparse Wavelength Conversion in WDM Networks

Proceedings IEEE INFOCOM 2006. 25TH IEEE International Conference on Computer Communications ◽

10.1109/infocom.2006.217 ◽

2006 ◽

Cited By ~ 3

Author(s):

Y. Zhou ◽

G.-S. Poo

Keyword(s):

Wavelength Conversion ◽

Wavelength Assignment ◽

Wdm Networks ◽

Sparse Wavelength Conversion

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A comparative study of multiobjective computational intelligence algorithms to find the solution to the RWA problem in WDM networks

DYNA ◽

10.15446/dyna.v82n194.49663 ◽

2015 ◽

Vol 82 (194) ◽

pp. 221-229

Author(s):

Bryan Montes Castañeda ◽

Jorge Patiño Garzón ◽

Gustavo Puerto Leguizamón

Keyword(s):

Comparative Study ◽

Optical Networks ◽

Computational Intelligence ◽

Simulated Annealing Algorithm ◽

Wavelength Conversion ◽

Search Space ◽

Wavelength Assignment ◽

Wdm Networks ◽

Differential Evolutionary Algorithm ◽

The Impact

This paper presents a comparative study of multiobjective algorithms to solve the routing and wavelength assignment problem in optical networks. The study evaluates five computational intelligence algorithms, namely: the Firefly Algorithm, the Differential Evolutionary Algorithm, the Simulated Annealing Algorithm and two versions of the Particle Swarm Optimization algorithm. Each algorithm is assessed based on the performance provided by two different network topologies under different data traffic loads and with a different number of wavelengths available in the network. The impact of implementing wavelength conversion processes is also taken into account in this study. Simulated results show that, in general, the evaluated algorithms appropriately solve the problem in small-sized networks in which a similar performance was found. However, key differences were found when the size of the network is significant. This means that more suitable algorithms optimize the search space and the fall into local minimums is avoided.

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Hybrid Algorithm Based Effective Light Trail Creation in an Optical Networks

Journal of Optical Communications ◽

10.1515/joc-2018-0209 ◽

2019 ◽

Vol 0 (0) ◽

Author(s):

Harpreet Kaur ◽

Munish Rattan

Keyword(s):

Optical Networks ◽

Wavelength Division Multiplexing ◽

Hybrid Algorithm ◽

Wavelength Conversion ◽

Optical Network ◽

Differential Evolution Algorithm ◽

Wavelength Assignment ◽

Wdm Networks ◽

Wdm Optical Networks ◽

Major Mode

AbstractWith the overwhelming use of the Internet, the wavelength division multiplexing (WDM) optical networks have become the major mode of communication for wide applications. Hence, the routing and wavelength assignment (RWA) for a given traffic in WDM networks is the chief challenge in optical networks. This paper presents the RWA problem in WDM networks using the hybrid algorithm of flower pollination (FP) and simulated annealing (SA) algorithm (FA+SA) with and without wavelength conversion capability at the nodes of the network. Comparative analysis with techniques presented in literature is also carried out, i. e. differential evolution algorithm (DEA), firefly algorithm (FA), particle swarm optimization with less number of informers (Psolbest), SA and genetic algorithm (GA). The results prove that hybrid algorithm of FP and SA is potentially more efficient than algorithms present in literature for the light path establishment in an optical network.

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