Routing Algorithms Simulation for Self-Aware SDN
Keyword(s):
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.
2010 ◽
Vol 33
(2)
◽
pp. 300-304
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Keyword(s):
2021 ◽
Vol 20
◽
pp. 153303382110163
2000 ◽
Vol 1719
(1)
◽
pp. 103-111
◽
Keyword(s):
2017 ◽
pp. 576-585