Architecture for Resource Allocation in the Internet of Vehicles for Cooperating Driving System

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...

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Vydáno v:Journal of advanced transportation Ročník 2021; s. 1 - 11
Hlavní autoři: kalsoom, Nafeesa, Ahmad, Iftikhar, Alroobaea, Roobaea, Raza, Muhammad Ahsan, Khalid, Samina, Ahmed, Zaheed, Ali, Ihsan
Médium: Journal Article
Jazyk:angličtina
Vydáno: London Hindawi 2021
John Wiley & Sons, Inc
Wiley
Témata:
Algorithms
Bandwidths
Clustering
Communication
Complex systems
Computer architecture
Cooperation
Driving
Efficiency
Infrastructure
Internet
Internet of Vehicles
Quality of service architectures
Resource allocation
Roads & highways
Traffic
Traffic congestion
Transportation
Vehicles
Wireless networks
ISSN:0197-6729, 2042-3195
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Shrnutí: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.
Bibliografie:ObjectType-Article-1
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ISSN:0197-6729
2042-3195
DOI:10.1155/2021/6637568