Idris, Mohd Yamani Idna and Ahmedy, Ismail and Soon, Tey Kok and Yahuza, Muktar and Tambuwal, Abubakar Bello and Ali, Usman (2024) Cognitive radio and machine learning modalities for enhancing the smart transportation system: A systematic literature review. ICT Express, 10 (4). pp. 693-734. ISSN 2405-9595, DOI https://doi.org/10.1016/j.icte.2024.05.001.
Full text not available from this repository.Abstract
Smart transportation systems implemented through vehicular ad hoc networks (VANET) offer significant potential to improve safety. However, the network faces critical challenges related to security, as well as inadequate spectrum sensing and management. To address these issues, researchers have utilized cognitive radio and machine learning technologies. Although, previous survey studies have provided a valuable foundation for understanding the use of cognitive radio in VANET, not all have systematically investigated its impact on mitigating spectrum sensing and management issues or the role of machine learning in supporting cognitive radio functionality. Furthermore, the effects of security issues on both VANET and cognitive radio enhanced VANET have not been consistently examined. This survey aims to systematically review the application of cognitive radio and machine learning approaches to address the identified challenges in smart transportation networks, offering valuable research opportunities for future investigations. The paper extensively explores state-of-the-art approaches and focuses on: (1) Assessing the impact of cognitive radio and machine learning on spectrum sensing and management in smart transportation networks and (2) Evaluating the impact of security issues on both VANET and cognitive radio enhanced VANET. (c) 2024 The Author(s). Published by Elsevier B.V. on behalf of The Korean Institute of Communications and Information Sciences. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
| Item Type: | Article |
|---|---|
| Funders: | Malaysian Ministry of Higher Education through the Fundamental Research Grant Scheme (FRGS/1/2021/ICT11/UM/02/1 (FP005-2021)) |
| Uncontrolled Keywords: | Ad hoc network; Cognitive radio; Machine learning; Intelligent transportation system; Vehicular ad hoc network (VANET) |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Faculty of Computer Science & Information Technology |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 07 Feb 2025 07:53 |
| Last Modified: | 07 Feb 2025 07:53 |
| URI: | http://eprints.um.edu.my/id/eprint/47514 |
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