Adaptive Spectrum Allocation Algorithm for Elastic Optical Networks with Survivability

Abstract

Elastic optical networks (EONs) have emerged as the preferred technology for future optical networks because of its ability to flexible assignment of spectral resources. In EONs, multiple frequency slots can be allocated to accommodate both subwavelength and superwavelength traffic. An important factor in the success of EONs is routing and spectrum allocation (RSA). In this paper, we propose an adaptive spectrum allocation algorithm for EONs in the case of survivability. The algorithm is based on relative cost and learning automata to produce the near-optimal searching sequence of the optical spectrum. The algorithm estimates the gain (cost) of carrying a call at a set of contiguous frequency slots on subsequent (future) call arrival. This gain (cost) will be used to sort and the starting frequencies. Simulation results show that our algorithm outperforms existing algorithms and provide savings for the normalized revenue loss up to 45% over the static first-fit RSA.