Routing Algorithms Simulation for Self-Aware SDN
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 routin...
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Format: | Article |
Language: | English |
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MDPI AG
2021-12-01
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Series: | Electronics |
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Online Access: | https://www.mdpi.com/2079-9292/11/1/104 |
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author | Mateusz P. Nowak Piotr Pecka |
author_facet | Mateusz P. Nowak Piotr Pecka |
author_sort | Mateusz P. Nowak |
collection | DOAJ |
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. |
first_indexed | 2024-03-10T03:44:36Z |
format | Article |
id | doaj.art-950e715cf96f4f12a4afdb642735f78e |
institution | Directory Open Access Journal |
issn | 2079-9292 |
language | English |
last_indexed | 2024-03-10T03:44:36Z |
publishDate | 2021-12-01 |
publisher | MDPI AG |
record_format | Article |
series | Electronics |
spelling | doaj.art-950e715cf96f4f12a4afdb642735f78e2023-11-23T11:22:57ZengMDPI AGElectronics2079-92922021-12-0111110410.3390/electronics11010104Routing Algorithms Simulation for Self-Aware SDNMateusz P. Nowak0Piotr Pecka1Institute of Theoretical and Applied Informatics, Polish Academy of Sciences (ITAI PAS), Baltycka 5, 44-100 Gliwice, PolandInstitute of Theoretical and Applied Informatics, Polish Academy of Sciences (ITAI PAS), Baltycka 5, 44-100 Gliwice, PolandThis 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.https://www.mdpi.com/2079-9292/11/1/104software-defined networkself-aware networkrandom neural networksimulation |
spellingShingle | Mateusz P. Nowak Piotr Pecka Routing Algorithms Simulation for Self-Aware SDN Electronics software-defined network self-aware network random neural network simulation |
title | Routing Algorithms Simulation for Self-Aware SDN |
title_full | Routing Algorithms Simulation for Self-Aware SDN |
title_fullStr | Routing Algorithms Simulation for Self-Aware SDN |
title_full_unstemmed | Routing Algorithms Simulation for Self-Aware SDN |
title_short | Routing Algorithms Simulation for Self-Aware SDN |
title_sort | routing algorithms simulation for self aware sdn |
topic | software-defined network self-aware network random neural network simulation |
url | https://www.mdpi.com/2079-9292/11/1/104 |
work_keys_str_mv | AT mateuszpnowak routingalgorithmssimulationforselfawaresdn AT piotrpecka routingalgorithmssimulationforselfawaresdn |