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Artificial Intelligence, Internet of things and 6G methodologies in the context of Vehicular Ad-hoc Networks (VANETs): Survey

Bilal SaoudElectrical Engineering Department, Sciences and Applied Sciences Faculty, LISEA Laboratory, Bouira University, 10000, Bouira, AlgeriaIbraheem ShayeaElectronics & Communications Engineering Department, Faculty of Electrical and Electronics Engineering, Istanbul Technical University (ITU), 34469, Istanbul, TurkeyAbdulsamad Ebrahim YahyaDepartment of Information Technology, College of Computing and Information Technology, Northern Border University, Arar, Saudi ArabiaZaid Ahmed ShamsanElectrical Engineering Department, College of Engineering, Imam Mohammad Ibn Saud Islamic University (IMSIU), 11432, Saudi ArabiaAbdulraqeb AlhammadiCentre for Artificial Intelligence and Robotics (CAIRO), Malaysia-Japan International Institute of Technology, University of Technology Malaysia, Kuala Lumpur, MalaysiaMohamad A. AlawadElectrical Engineering Department, College of Engineering, Imam Mohammad Ibn Saud Islamic University (IMSIU), 11432, Saudi ArabiaYazeed AlkhrijahElectrical Engineering Department, College of Engineering, Imam Mohammad Ibn Saud Islamic University (IMSIU), 11432, Saudi Arabia
2024en
ABI

Аннотация

Recent developments in the fields of communications, smart transportation systems and computer systems have significantly expanded the potential for intelligent solutions in the domains of traffic safety, convenience and efficiency. The utilization of Artificial Intelligence (AI) is presently prevalent across diverse sectors of application due to its significant capacity to augment conventional data-driven methodologies. In the domain of Vehicular Ad hoc NETworks (VANETs), data is regularly gathered from several sources. The collected data serves multiple goals, such as facilitating efficient routing, enhancing driver awareness, forecasting mobility patterns to prevent potential risks, and ultimately enhancing passenger comfort, safety and overall road experience. Internet of thing (IoT) can be a good solution fro many issues that of VANETs. In order to make a complete system of VANETs communications are very essential like 5G and 6G. This study provides a detailed examination of AI, IoT and 5G/6G methodologies currently being investigated by multiple research endeavors in the field of VANETs. The merits and demerits of the AI-based methodologies suggested for the VANET domain have been analyzed with the using of IoT and 5G/6G. In conclusion, forthcoming research prospects in the field of VANETs are ascertained.

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