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Routing and Wavelength Assignment (RWA) is a well known problem in Wavelength Division Multiplexing (WDM) networks. RWA problem is reported in the literature as a single objective ILP problem. In this article, we formulated the RWA problem as a multi objective ILP problem. An attempt is made to obtain a feasible solution using genetic algorithm (GA). The parameters considered for optimization are congestion among the individual lightpath requests, connection set up time, the number of intermediate hops traversed and the number of fibers used to honor the established connection requests. We considered ARPANET and NSFNET for our simulation.…mehr

Produktbeschreibung
Routing and Wavelength Assignment (RWA) is a well known problem in Wavelength Division Multiplexing (WDM) networks. RWA problem is reported in the literature as a single objective ILP problem. In this article, we formulated the RWA problem as a multi objective ILP problem. An attempt is made to obtain a feasible solution using genetic algorithm (GA). The parameters considered for optimization are congestion among the individual lightpath requests, connection set up time, the number of intermediate hops traversed and the number of fibers used to honor the established connection requests. We considered ARPANET and NSFNET for our simulation.
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Autorenporträt
Ravi Sankar Barpanda received the B.E. and M.Tech. degrees in Computer Science & Engineering in 2002 and 2011 respectively. Since 2012, he has been associated with National Institute of Technology Rourkela as a Ph.D. scholar. His research interests include optical networking, and soft computing techniques. He is a member of the ACEEE (ID:7000467).