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

Hyo Sik Yang, Martin Maier, Martin Reisslein, W. Matthew Carlyle

Research output: Contribution to journalArticle

40 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)1114-1133
Number of pages20
JournalJournal of Lightwave Technology
Volume21
Issue number5
DOIs
StatePublished - May 1 2003

Keywords

  • Arrayed-waveguide grating
  • Genetic algorithm
  • Medium access control protocol
  • Metropolitan area network
  • Multi-objective optimization
  • Pareto-optimal
  • Wavelength-division multiplexing (WDM)

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics

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