Abstract
Traffic grooming is widely employed to reduce the cost of WDM optical networks. In this paper, we deal with the grooming of dynamic traffic in WDM tree and star networks. To achieve better results, we groom the arbitrary dynamic traffic in WDM tree and star networks in a strictly non-blocking manner using the bifurcation techniques to split traffic. Three splitting methods, including Traffic-Cutting, Traffic-Dividing and Synthesized-Splitting were proposed. A genetic algorithm (GA) approach based on these methods was proposed to tackle such grooming problems in tree and star networks. The performance of these algorithms was tested under different conditions in star and tree networks. Computer simulation results showed that our algorithm is efficient in reducing both the numbers of ADM's and wavelengths.
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