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

被引:6
|
作者
Kalsoom, Nafeesa [1 ]
Ahmad, Iftikhar [1 ,2 ]
Alroobaea, Roobaea [3 ]
Raza, Muhammad Ahsan [4 ]
Khalid, Samina [1 ]
Ahmed, Zaheed [5 ]
Ali, Ihsan [2 ]
机构
[1] Mirpur Univ Sci & Technol MUST, Dept CS & IT, Mirpur 10250, Ajk, Pakistan
[2] Univ Malaya, Fac Comp Sci & Informat Technol, Kuala Lumpur, Malaysia
[3] Taif Univ, Dept Comp Sci, Coll Comp & Informat Technol, POB 11099, At Taif 21944, Saudi Arabia
[4] Bahauddin Zakariya Univ, Dept Informat Technol, Multan 60000, Pakistan
[5] Univ Kotli, Fac Comp & Engn, Kotli, Ajk, Pakistan
关键词
Resource allocation - Vehicle to vehicle communications - Clustering algorithms - 5G mobile communication systems - Complex networks - Traffic congestion - Quality of service - Behavioral research - Network architecture;
D O I
10.1155/2021/6637568
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
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.
引用
收藏
页数:11
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