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Improving AODV Performance by Software Defined Networking Using NS3 Cover

Improving AODV Performance by Software Defined Networking Using NS3

Applied Computer Systems
Volume 27 (2022): Issue 2 (December 2022)
By: ,   and    
Open Access
|Jan 2023
Authors

Authors

Hanene Brahmia

hanenebrahmia@gmail.com

Laboratoire Réseaux et Systèmes LRS, Dept. Computer Science, Badji Mokhtar Annaba University, Algeria

Chérif Tolba

ctolba@yahoo.fr

Laboratoire Réseaux et Systèmes LRS, Dept. Computer Science, Badji Mokhtar Annaba University, Algeria

Toufik Hafs

hafstoufik@gmail.com

LERICA, Dept. Electronics, Badji Mokhtar Annaba University, Algeria
DOI: https://doi.org/10.2478/acss-2022-0017 | Journal eISSN: 2255-8691 | Journal ISSN: 2255-8683
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Language: English
Page range: 159 - 165
Published on: Jan 24, 2023
Published by: Riga Technical University
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
AODV,
NS3,
OpenFlow,
SDN,
SUMO,
trace mobility,
vehicular network VANET
Related subjects:
Computer sciences,
Artificial intelligence,
Information technology,
Project management,
Software development

© 2023 Hanene Brahmia, Chérif Tolba, Toufik Hafs, published by Riga Technical University
This work is licensed under the Creative Commons Attribution 4.0 License.

Volume 27 (2022): Issue 2 (December 2022)
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