The Evolution of VANET: A Review of Emerging Trends in Artificial Intelligence and Software-Defined Networks
This paper presents an in-depth look at the evolution of Vehicular Ad Hoc Networks (VANET) and their increasing importance in the development of Intelligent Transportation Systems (ITS). Emerging technologies that shape the future of VANET are discussed, focusing on artificial intelligence (AI) and...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10915641/ |
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| _version_ | 1849392878794571776 |
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| author | Octavio Jose Salcedo Parra Lewys Correa Sanchez Jorge Gomez |
| author_facet | Octavio Jose Salcedo Parra Lewys Correa Sanchez Jorge Gomez |
| author_sort | Octavio Jose Salcedo Parra |
| collection | DOAJ |
| description | This paper presents an in-depth look at the evolution of Vehicular Ad Hoc Networks (VANET) and their increasing importance in the development of Intelligent Transportation Systems (ITS). Emerging technologies that shape the future of VANET are discussed, focusing on artificial intelligence (AI) and software-defined networking (SDN) as key solutions to the challenges inherent in these dynamic networks. Applications of AI, including machine learning (ML), deep learning, and swarm intelligence, for improving security, traffic efficiency, and information management in VANET were examined. Routing challenges in these environments are discussed and SDN is presented as a viable solution. SDN protocols, controllers, and architectures are described, and their advantages and disadvantages in the context of VANET are analyzed. It provides a comprehensive overview of the current state of VANET, the emerging technologies driving them, and the challenges and opportunities presented by their continued development. The convergence of AI, SDN, and other key technologies is crucial for intelligent transportation, paving the way for safer, more efficient, and more connected driving. |
| format | Article |
| id | doaj-art-4a35a1dd5aed416b97c45255fcf3d196 |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-4a35a1dd5aed416b97c45255fcf3d1962025-08-20T03:40:40ZengIEEEIEEE Access2169-35362025-01-0113491874921310.1109/ACCESS.2025.354864010915641The Evolution of VANET: A Review of Emerging Trends in Artificial Intelligence and Software-Defined NetworksOctavio Jose Salcedo Parra0https://orcid.org/0000-0002-0767-8522Lewys Correa Sanchez1https://orcid.org/0009-0007-4351-8095Jorge Gomez2https://orcid.org/0000-0001-8746-9386Internet Inteligente Research Group, Facultad de Ingeniería, Universidad Distrital Francisco José de Caldas, Bogotá, ColombiaInternet Inteligente Research Group, Facultad de Ingeniería, Universidad Distrital Francisco José de Caldas, Bogotá, ColombiaDepartamento de Ingeniería de Sistemas y Telecomunicaciones, Universidad de Córdoba, Córdoba, ColombiaThis paper presents an in-depth look at the evolution of Vehicular Ad Hoc Networks (VANET) and their increasing importance in the development of Intelligent Transportation Systems (ITS). Emerging technologies that shape the future of VANET are discussed, focusing on artificial intelligence (AI) and software-defined networking (SDN) as key solutions to the challenges inherent in these dynamic networks. Applications of AI, including machine learning (ML), deep learning, and swarm intelligence, for improving security, traffic efficiency, and information management in VANET were examined. Routing challenges in these environments are discussed and SDN is presented as a viable solution. SDN protocols, controllers, and architectures are described, and their advantages and disadvantages in the context of VANET are analyzed. It provides a comprehensive overview of the current state of VANET, the emerging technologies driving them, and the challenges and opportunities presented by their continued development. The convergence of AI, SDN, and other key technologies is crucial for intelligent transportation, paving the way for safer, more efficient, and more connected driving.https://ieeexplore.ieee.org/document/10915641/Artificial intelligencesoftware-defined networkingroutingvehicular ad hoc networkswireless networks |
| spellingShingle | Octavio Jose Salcedo Parra Lewys Correa Sanchez Jorge Gomez The Evolution of VANET: A Review of Emerging Trends in Artificial Intelligence and Software-Defined Networks IEEE Access Artificial intelligence software-defined networking routing vehicular ad hoc networks wireless networks |
| title | The Evolution of VANET: A Review of Emerging Trends in Artificial Intelligence and Software-Defined Networks |
| title_full | The Evolution of VANET: A Review of Emerging Trends in Artificial Intelligence and Software-Defined Networks |
| title_fullStr | The Evolution of VANET: A Review of Emerging Trends in Artificial Intelligence and Software-Defined Networks |
| title_full_unstemmed | The Evolution of VANET: A Review of Emerging Trends in Artificial Intelligence and Software-Defined Networks |
| title_short | The Evolution of VANET: A Review of Emerging Trends in Artificial Intelligence and Software-Defined Networks |
| title_sort | evolution of vanet a review of emerging trends in artificial intelligence and software defined networks |
| topic | Artificial intelligence software-defined networking routing vehicular ad hoc networks wireless networks |
| url | https://ieeexplore.ieee.org/document/10915641/ |
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