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Routing Algorithms Simulation for Self-Aware SDN
| Content Provider | MDPI |
|---|---|
| Author | Nowak, Mateusz P. Pecka, Piotr |
| Copyright Year | 2021 |
| Description | 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. |
| Starting Page | 104 |
| e-ISSN | 20799292 |
| DOI | 10.3390/electronics11010104 |
| Journal | Electronics |
| Issue Number | 1 |
| Volume Number | 11 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2021-12-29 |
| Access Restriction | Open |
| Subject Keyword | Electronics Software-defined Network Self-aware Network Random Neural Network Simulation |
| Content Type | Text |
| Resource Type | Article |
