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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Main Authors: Nafeesa kalsoom, Iftikhar Ahmad, Roobaea Alroobaea, Muhammad Ahsan Raza, Samina Khalid, Zaheed Ahmed, Ihsan Ali
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Journal of Advanced Transportation
Online Access:http://dx.doi.org/10.1155/2021/6637568
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author Nafeesa kalsoom
Iftikhar Ahmad
Roobaea Alroobaea
Muhammad Ahsan Raza
Samina Khalid
Zaheed Ahmed
Ihsan Ali
author_facet Nafeesa kalsoom
Iftikhar Ahmad
Roobaea Alroobaea
Muhammad Ahsan Raza
Samina Khalid
Zaheed Ahmed
Ihsan Ali
author_sort Nafeesa kalsoom
collection DOAJ
description 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.
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institution Kabale University
issn 0197-6729
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language English
publishDate 2021-01-01
publisher Wiley
record_format Article
series Journal of Advanced Transportation
spelling doaj-art-60ab6b3df7704d6ca3a39fddf92280102025-02-03T06:46:42ZengWileyJournal of Advanced Transportation0197-67292042-31952021-01-01202110.1155/2021/66375686637568Architecture for Resource Allocation in the Internet of Vehicles for Cooperating Driving SystemNafeesa kalsoom0Iftikhar Ahmad1Roobaea Alroobaea2Muhammad Ahsan Raza3Samina Khalid4Zaheed Ahmed5Ihsan Ali6Department of CS and IT, Mirpur University of Science and Technology (MUST), Mirpur-10250, AJK, PakistanDepartment of CS and IT, Mirpur University of Science and Technology (MUST), Mirpur-10250, AJK, PakistanDepartment of Computer Science, College of Computers and Information Technology, Taif University, P. O. Box 11099, Taif 21944, Saudi ArabiaDepartment of Information Technology, Bahauddin Zakariya University, Multan 60000, PakistanDepartment of CS and IT, Mirpur University of Science and Technology (MUST), Mirpur-10250, AJK, PakistanFaculty of Computing and Engineering, University of Kotli, AJK, Kotli, PakistanUniversity of Malaya, Faculty of Computer Science and Information Technology, Kuala Lumpur, MalaysiaInternet 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.http://dx.doi.org/10.1155/2021/6637568
spellingShingle Nafeesa kalsoom
Iftikhar Ahmad
Roobaea Alroobaea
Muhammad Ahsan Raza
Samina Khalid
Zaheed Ahmed
Ihsan Ali
Architecture for Resource Allocation in the Internet of Vehicles for Cooperating Driving System
Journal of Advanced Transportation
title Architecture for Resource Allocation in the Internet of Vehicles for Cooperating Driving System
title_full Architecture for Resource Allocation in the Internet of Vehicles for Cooperating Driving System
title_fullStr Architecture for Resource Allocation in the Internet of Vehicles for Cooperating Driving System
title_full_unstemmed Architecture for Resource Allocation in the Internet of Vehicles for Cooperating Driving System
title_short Architecture for Resource Allocation in the Internet of Vehicles for Cooperating Driving System
title_sort architecture for resource allocation in the internet of vehicles for cooperating driving system
url http://dx.doi.org/10.1155/2021/6637568
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