Kalsoom, Nafeesa and Ahmad, Iftikhar and Alroobaea, Roobaea and Raza, Muhammad Ahsan and Khalid, Samina and Ahmed, Zaheed and Ali, Ihsan (2021) Architecture for resource allocation in the internet of vehicles for cooperating driving system. Journal of Advances Transportation, 2021. ISSN 0197-6729, DOI https://doi.org/10.1155/2021/6637568.
Full text not available from this repository.Abstract
Internet of Vehicles (IoV) is a complex system that consists of resource types such as vehicles, humans, and sensors. Although the Internet of Vehicles is complex, it improvises communication among vehicles on the roads. Quality of service (QoS) enabled the cooperative driving system (CDS) based on 5G technology, enabling vehicles to communicate and cooperate to improve road traffic efficiency. Due to the high vehicle density and limited resources (bandwidth) of current network infrastructure, sometimes a better channel that meets the requirements of cooperative driving is not available that causes network congestion, which directly influences the overall QoS of the CDS. To overcome this, we proposed a 5G network-based architecture for CDS that incorporates a D2D technology-based resource allocation scheme. The proposed network architecture and cooperative behavior-based scheme helps in improving QoS for CDS. We implemented our proposed scheme by incorporating the density-based scattered clustering algorithm with noise for vehicular clustering. The proposed scheme's performance shows significant improvement in terms of throughput compared with existing D2D approaches.
| Item Type: | Article |
|---|---|
| Funders: | Taif University Researchers Supporting Project, Taif University, Taif, Saudi Arabia (TURSP-2020/36), Faculty of Computer Science and Information Technology, University of Malaya (PG035-2016A) |
| Uncontrolled Keywords: | Internet of Vehicles (IoV); Quality of service (QoS); Resource allocation; Cooperating driving system |
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
| Divisions: | Faculty of Computer Science & Information Technology |
| Depositing User: | Ms Zaharah Ramly |
| Date Deposited: | 01 Mar 2022 02:25 |
| Last Modified: | 01 Mar 2022 02:25 |
| URI: | http://eprints.um.edu.my/id/eprint/28630 |
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