Challenges and Opportunities in Vehicular Cloud Computing

Author:

Ahmed Zeinab E.1,Saeed Rashid A.2,Mukherjee Amitava3

Affiliation:

1. University of Gezira, Sudan

2. Sudan University of Science and Technology, Sudan

3. Globsyn Business School, India

Abstract

Vehicular ad-hoc networks (VANET) have become an important research area due to their ability to allow sharing resources among the users to carry out their application and provide services of transport and traffic management. VANET communication allows exchange of sensitive information among nearby vehicles such as condition of weather and road accidents in order to improve vehicle traffic efficiency through Intelligent Transportation Systems (ITS). Many technologies have been developed to enhance ITS. Recently, vehicular cloud computing (VCC) has been developed in order to overcome the drawbacks VANET. VCC technology provides low-cost services to vehicles and capable of managing road traffic efficiently by using the vehicular sources (such as internet) to make decisions and for storage. VCC is considered as the basis for improving and developing intelligent transportation systems. It plays a major role in people's lives due to its safety, security, trust, and comfort to passengers and drivers. This chapter investigates the vehicular cloud computing. The authors first concentrate on architectures. Then, they highlight applications and features provided by VCC. Additionally, they explain the challenges for VCC. Finally, the authors present opportunities and future for VCC.

Publisher

IGI Global

Reference51 articles.

1. Ahmad, F., Kazim, M., & Adnane, A. (2015). Vehicular Cloud Networks: Architecture and Security. In Guide to Security Assurance for Cloud Computing (pp. 211-226). Springer International Publishing.

2. Ahmad, F., Kazim, M., Adnane, A., & Awad, A. (2015, December). Vehicular cloud networks: architecture, applications, and security issues. In Utility and Cloud Computing (UCC), 2015 IEEE/ACM 8th International Conference on (pp. 571-576). IEEE.‏

3. The Role of Vehicular Cloud Computing in Road Traffic Management: A Survey.;I.Ahmad;International Conference on Future Intelligent Vehicular Technologies,2016

4. Aloqaily, M., Kantarci, B., & Mouftah, H. T. (2015, November). Vehicular Clouds: State of the art, challenges and future directions. In Applied Electrical Engineering and Computing Technologies (AEECT), 2015 IEEE Jordan Conference on (pp. 1-6). IEEE.

5. An Optimized Flow Allocation in Vehicular Cloud

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Recent Survey on Internet of Vehicles: Architecture, Applications, Challenges, and Its Solutions;Journal of Testing and Evaluation;2023-11-20

2. Task Reverse Offloading with Deep Reinforcement Learning in Multi-Access Edge Computing;2023 9th International Conference on Computer and Communication Engineering (ICCCE);2023-08-15

3. Optimization Procedure for Intelligent Internet of Things Applications;2022 International Conference on Business Analytics for Technology and Security (ICBATS);2022-02-16

4. Performance Evaluation of Downlink Coordinated Multipoint Joint Transmission under Heavy IoT Traffic Load;Wireless Communications and Mobile Computing;2022-01-06

5. Role of Cloud Computing in Vehicular NETs to Design Smart ITS;Internet of Things and Its Applications;2021-11-26

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3