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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Main Authors: Mateusz P. Nowak, Piotr Pecka
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Electronics
Subjects:
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.
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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