Clustering and 5G-Enabled Smart Cities

Author:

Tal Irina1,Muntean Gabriel-Miro2ORCID

Affiliation:

1. National College of Ireland, Ireland

2. Dublin City University, Ireland

Abstract

This chapter highlights the importance of vehicular ad-hoc networks (VANETs) in the context of the 5G-enabled smarter cities and roads, a topic that attracts significant interest. In order for VANETs and its associated applications to become a reality, a very promising avenue is to bring together multiple wireless technologies in the architectural design. 5G is envisioned to have a heterogeneous network architecture. Clustering is employed in designing optimal VANET architectures that successfully use different technologies. Therefore, clustering has the potential to play an important role in the 5G-VANET-enabled solutions. This chapter presents a survey of clustering approaches in the VANET research area. The survey provides a general classification of the clustering algorithms, presents some of the most advanced and latest algorithms in VANETs, and it is among the fewest works in the literature that reviews the performance assessment of clustering algorithms.

Publisher

IGI Global

Reference80 articles.

1. VANET–LTE based heterogeneous vehicular clustering for driving assistance and route planning applications

2. Almalag, M. S., & Weigle, M. C. (2010, October). Using traffic flow for cluster formation in vehicular ad-hoc networks. In Local Computer Networks (LCN), 2010 IEEE 35th Conference on (pp. 631-636). IEEE.

3. Americas Whitepaper. (2018). Cellular V2XCommunications Towards 5G. Retrieved from http://www.5gamericas.org/files/9615/2096/4441/2018_5G_Americas_White_Paper_Cellular_V2X_Communications_Towards_5G__Final_for_Distribution.pdf

4. A cluster-based vehicular cloud architecture with learning-based resource management

5. Distributed clustering for ad hoc networks

Cited by 2 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. A Blockchain Application on Bootstrapping Mobile Nodes within VANET;2023 IEEE 13th Annual Computing and Communication Workshop and Conference (CCWC);2023-03-08

2. Data collection protocols for VANETs: a survey;Complex & Intelligent Systems;2022-01-10

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