Abstract
Optical wavelength converters are expensive, and their technology is still
evolving. Deploying full conversion capability in all nodes of a large optical
network would be prohibitively costly. We present a new algorithm for the sparse
placement of full wavelength converters based on the concept of a k-minimum
dominating set (k-MDS) of graphs. The k-MDS algorithm is used to select the best set
of nodes that will be equipped with full-conversion capability. To allow placement
of full wavelength conversion at any arbitrary number of nodes, we introduce a
HYBRID algorithm and compare its performance with the simulation-based k-BLK
approach. We also extend the k-MDS algorithm to the case of limited conversion
capability by using a scalable and cost-effective node-sharing switch design.
Compared with full search algorithms previously proposed in the literature our
algorithm has better blocking performance, has better time complexity, and avoids
the local minimum problem. The performance benefit of our algorithms is demonstrated
by simulation.
© 2003 Optical Society of America
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