z-logo
open-access-imgOpen Access
Architecture for Resource Allocation in the Internet of Vehicles for Cooperating Driving System
Author(s) -
Nafeesa Kalsoom,
Iftikhar Ahmad,
Roobaea Alroobaea,
Muhammad Ahsan Raza,
Samina Khalid,
Zaheed Ahmed,
Ihsan Ali
Publication year - 2021
Publication title -
journal of advanced transportation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.577
H-Index - 46
eISSN - 2042-3195
pISSN - 0197-6729
DOI - 10.1155/2021/6637568
Subject(s) - quality of service , computer network , computer science , cluster analysis , the internet , resource allocation , scheme (mathematics) , throughput , bandwidth (computing) , architecture , traffic congestion , channel (broadcasting) , distributed computing , wireless , transport engineering , engineering , telecommunications , artificial intelligence , art , mathematical analysis , visual arts , mathematics , world wide web
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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom