Optimal wavelength allocation and flow assignment in multiwavelength optical networks

Abstract

Automatically switched optical networks (ASON) require a control strategy that determines the optimal distribution of flows over different wavelengths. Such a strategy will increase the profit, by allowing service providers to quickly and effectively define and deploy new service offers. We introduce a demand elasticity based model for wavelength and flow assignment in multiwavelength optical networks. The model captures the appropriate optical flow for every link and for every wavelength using price/demand elasticity. The model assumes that the physical and logical topology of the optical network, the maintenance cost, and the traffic demands are known parameters. Under these assumptions a mixed integer optimization is used for wavelength allocation and flow assignment of the requested traffic demand and surplus maximization for the transport service supplier, operating the optical network. A case study shows how the bandwidth demand affects the supplier's profit.