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- W4200013818 abstract "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." @default.
- W4200013818 created "2021-12-31" @default.
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- W4200013818 date "2021-12-29" @default.
- W4200013818 modified "2023-09-26" @default.
- W4200013818 title "Routing Algorithms Simulation for Self-Aware SDN" @default.
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- W4200013818 doi "https://doi.org/10.3390/electronics11010104" @default.
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