The energy minimization algorithm for elastic optical networks

In this paper, a novel energy-aware grooming-based algorithm, named energy minimization algorithm (EMA), is proposed that aims at providing the quality of service requirements in elastic optical networks in terms of network energy efficiency and requests blocking probability. To this end, EMA divides the incoming requests into high priority and low priority requests and applies fragmentation and squeezing mechanisms on the low priority traffic to alleviate the blocking probability of high priority requests. Moreover, EMA proposes a novel mechanism to select the optimal paths in the routing phase so that the network energy consumption is minimized. The simulation results reveal that the proposed EMA improves the network energy efficiency and mitigates the requests blocking probability.