Wavelength Assignment in Optical Networks With Imprecise Network State Information
Efficient Routing and Wavelength Assignment (RWA) in wavelength-routed all-optical networks is critical for achieving high efficiency over the backbone links. Extensive research has been conducted to find strategies to solve the RWA problem with exact network state available at the time of path selection. The authors consider the problem of minimizing the blocking probability in an all-optical network with partial wavelength conversion and with imprecise network state information. They model imprecision in link-state information (wavelength availability) probabilistically and use Markovian analysis to predict the availability of each link based on its previous advertisement and the estimated average traffic over the link. The estimated probabilities are then used to find the most probable path between a source destination pair.