A MILP-based algorithm for energy saving in spectrum-sliced elastic optical networks

In this paper we propose a new approach for energy saving in Elastic Optical Networks (EONs) under physical impairments based on MILP solving instances. First we search for maximize the attended traffic on network whereas the blocking probability is maintained below a defined limit. Hence, the next step is to minimize the power consumption on network. The proposed MILP-based algorithm models the RMLSA problem and considers transponders, optical cross-connects (OXCs), and optical amplifiers as the physical components with influence on network optimization. Results show that our approach offers, on average, a reduction up to 5% of the power consumed on the three moderate networks analyzed.