A genetic algorithm-based methodology for optimizing multiservice convergence in a metro WDM network

doi:10.1109/JLT.2003.811564

A genetic algorithm-based methodology for optimizing multiservice convergence in a metro WDM network

2003-05-01

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DOI：10.1109/JLT.2003.811564

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We consider the multi-objective optimization, of a multi-service arrayed-waveguide grating-based single-hop metro WDM network with the two conflicting objectives of maximizing throughput while minimizing delay. We develop and evaluate a genetic algorithm based methodology for finding the optimal throughput-delay tradeoff curve, the so-called Pareto-optimal frontier.. Our methodology provides the network architecture (hardware) and the Medium Access Control. (MAC) protocol parameters that achieve the Pareto-optima in a computationally efficient manner. The numerical results obtained with our methodology provide the Pareto-optimal network planning and operation solutions for a wide range of traffic scenarios. the presented methodology is applicable to other networks with a similar throughput-delay tradeoff.

Keywords:

arrayed-waveguide grating

genetic algorithm

medium access control protocol

metropolitan area network

multi objective optimization

Pareto-optimal

wavelength-division multiplexing (WDM)

A genetic algorithm-based methodology for optimizing multiservice convergence in a metro WDM network

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