Title: An architectural view of VANETs cloud: its models, services, applications and challenges

Authors: Farhana Ajaz; Mohd. Naseem; Mohammad Shabaz; Muhammad Attique Khan

Addresses: Department of Computer Sciences, Baba Ghulam Shah Badshah University, Dhannore, Rajouri, 185234, Jammu & Kashmir, India ' Department of Computer Sciences, Baba Ghulam Shah Badshah University, Dhannore, Rajouri, 185234, Jammu & Kashmir, India ' Computer Science Engineering, Model Institute of Engineering and Technology, Jammu, Jammu & Kashmir, India ' Department of Computer Sciences and Mathematics, Lebanese American University, Beirut, Lebanon

Abstract: This research explores vehicular ad hoc networks (VANETs) and their extensive applications, such as enhancing traffic efficiency, infotainment, and passenger safety. Despite significant study, widespread deployment of VANETs has been hindered by security and privacy concerns. Challenges in implementation, including scalability, flexibility, poor connection, and insufficient intelligence, have further complicated VANETs. This study proposes leveraging cloud computing to address these challenges, marking a paradigm shift. Cloud computing, recognised for its cost-efficiency and virtualisation, is integrated with VANETs. The paper details the nomenclature, architecture, models, services, applications, and challenges of VANET-based cloud computing. Three architectures for VANET clouds - vehicular clouds (VCs), vehicles utilising clouds (VuCs), and hybrid vehicular clouds (HVCs) - are discussed in detail. The research provides an overview, delves into related work, and explores VANET cloud computing's architectural frameworks, models, and cloud services. It concludes with insights into future work and a comprehensive conclusion.

Keywords: cloud architecture; cloud services; roadside units; RSU; cloud computing; architectural design.

DOI: 10.1504/IJWGS.2024.139779

International Journal of Web and Grid Services, 2024 Vol.20 No.3, pp.292 - 341

Received: 20 Dec 2023
Accepted: 12 Mar 2024
Published online: 05 Jul 2024 *

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