Optimal wavelength allocation and flow assignment for optical networks for profit maximization

Abstract

Automated switched optical networks (ASON) are based on control strategies that determine the optimal distribution of flows over different wavelengths, increase the profit, by allowing service providers to define and deploy new service offers. We examine a demand elasticity based model for wavelength and flow assignment in multiwavelength optical networks. The model assumes that the physical and logical topology of the optical network, the maintenance cost for all physical links, and the traffic demands are known parameters. A mixed integer optimization is employed to determine wavelength allocation and flow assignment of the requested traffic demand. One of the novelties of this work is the optimization cost function, used for the profit maximization of the transport service supplier. A case study is presented, showing how the bandwidth demand affects the supplier's profit. Also, a comparison between the profitability of the proposed profit maximization and shortest path routing is provided.