Routing Algorithms Simulation for Self-Aware SDN

Main Authors: Nowak, Mateusz, Pecka, Piotr
Format: Article Journal
Bahasa: eng
Terbitan: , 2021
Subjects:
Online Access: https://zenodo.org/record/6469481
Daftar Isi:
  • This paper presents a self-aware network approach with cognitive packets, with a routing engine based on random neural networks. The simulation study, performed using a custom simulator extension of OmNeT++, compares RNN routing with other routing methods. The performance results of RNN-based routing, combined with the distributed nature of its operation inaccessible to other presented methods, demonstrate the advantages of introducing neural networks as a decision-making mechanism in selecting network paths. This work also confirms the usefulness of the simulator for SDN networks with cognitive packets and various routing algorithms, including RNN-based routing engines.