A routing algorithm based on fuzzy logics for elastic optical networks

This paper proposes a decision model based on fuzzy logics to assign the route between source-destination nodes in elastic optical networks. The route is chosen dynamically based on the lowest cost criterion, which is calculated based on a weighted summation of three metrics, called availability of contiguous slots on the route, average availability of slots on the route and physical length of the lightpath. To accomplish this task, we use the Takagi-Sugeno defuzzification process to calculate the cost of the route under analysis. By using our proposal in three different scenarios, we obtained a better network performance regarding blocking probability and an increase in the throughput when compared to other well-known routing algorithms, such as Shortest Path, Minimum Hop, Congested Aware Shortest Path and Spectrum Continuity based Shortest Path.