OTN Network Planning Over DWDM Using Computational Intelligence

Abstract

With the increasing demand for high-quality telecommunications services, new technologies have been introduced in the optical networking market. Among them, we can cite optical transport networks (OTNs) that work as a layer above the DWDM network and allow more efficient use of resources. The present work proposes a methodology for planning OTN networks over DWDM based on meta-heuristics. The primary objective is to enable the minimization of the cost with OTN interfaces (the element with the most significant cost) in the network simultaneously satisfying the requirements of performance and resilience. We deployed the NSGAII multi-objective optimizer to minimize two conflicting objectives in a network with static traffic: number of network interfaces and number of failures in the restoration processes considering all the possible combination of double failures. In this first version of the optimizing process, we used classical operators for selection, crossover, and mutation. We used a scenario to validate the methodology composed by a network with 4 OTN nodes. We performed 30 trials to allow statistical analysis. For the sake of comparison, we compared the results of the proposal with the exhaustive search. The results suggest that the proposal can be successfully used for the planning of the OTN layer.