Systematic review of data exchange for road side unit in a vehicular ad hoc network: coherent taxonomy, prominent features, datasets, metrics, performance measures, motivation, opportunities, challenges and methodological aspects

Author:

Shakir Ahmed Thair,Islam Md. Shabiul,Mandeep Jit Singh,Islam Mohammad Tariqul,Abdullah Nor Fadzilah,Taher Younus Hasan,Abdullahi Omer T.,Soliman Mohamed S.

Abstract

AbstractNowadays, more cars are being added to the roads, which increases the risk of deadly accidents and the average commuter's daily travel time. To address these issues, vehicular ad hoc networks (VANETs) were developed, facilitating communication both among vehicles and between vehicles and infrastructure. Due to the great mobility of vehicles, the primary issue in VANETs is the requirement for very short communication latency, particularly for applications related to safety. Moreover, security is a significant concern that arises from Because nodes share sensitive information with one another about themselves and their surroundings. The infrastructure-based elements defined as roadside units (RSU) were formulated to overcome this problem by allowing information to be transmitted amongst vehicles, which could then be used to increase system safety and efficiency. However, in order to achieve certain desired Quality of Service (QoS), such as service coverage, throughput, reduced latency, or energy consumption, there are primary obstacles that arise when implementing (RSUs). These obstacles include performance issues, data security during transfer, and overall cost considerations. This article introduces a thorough survey of Roadside Units (RSUs) in VANET networks, providing an examination of the current research trends in this field. The survey explores the strengths, weaknesses, specific scenarios, methods, topologies, and potential future improvements of RSUs. Additionally, the paper focuses on three key aspects of RSUs: deployment, management, and security, analyzing their prominent features, motivations, challenges, methodology aspects, real datasets, metrics, and performance measures.

Publisher

Springer Science and Business Media LLC

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