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 language | English (US) |
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Pages (from-to) | 1114-1133 |
Number of pages | 20 |
Journal | Journal of Lightwave Technology |
Volume | 21 |
Issue number | 5 |
DOIs | |
State | Published - May 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