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A review of clustering algorithms in VANETs
Annals of Telecommunications ( IF 1.9 ) Pub Date : 2021-02-02 , DOI: 10.1007/s12243-020-00831-x
Mengying Ren , Jun Zhang , Lyes Khoukhi , Houda Labiod , Véronique Vèque

In vehicular ad hoc network (VANET), lots of information should be delivered on a large scale in a limited time. Meanwhile, vehicles are quite dynamic with high velocities, which causes a large number of vehicle disconnections. Both of these characteristics lead to unreliable information transmission in VANET. A vehicle clustering algorithm, which organizes vehicles in groups, is introduced in VANET to improve network scalability and connection reliability. However, different clustering techniques and algorithms are required for different scenarios, such as information transmission, routing, and accident detections. This paper explores the vehicle clustering techniques from the aspects of cluster head selection, cluster formation, and cluster maintenance procedures. Meanwhile, context-based clustering algorithms are summarized, and the hybrid-clustering algorithms are highlighted. The paper also summarizes the existing clustering performance metrics and performance evaluation approaches.



中文翻译:

VANET中的聚类算法综述

在车辆自组织网络(VANET)中,应在有限的时间内大规模传递大量信息。同时,车辆在高速下非常动态,这导致大量的车辆断开连接。这两个特性都会导致VANET中的信息传输不可靠。VANET中引入了一种将车辆分组的车辆聚类算法,以提高网络可扩展性和连接可靠性。但是,对于不同的场景,例如信息传输,路由和事故检测,需要不同的聚类技术和算法。本文从簇头选择,簇形成和簇维护程序等方面探讨了车辆簇技术。同时,总结了基于上下文的聚类算法,并突出显示了混合群集算法。本文还总结了现有的集群性能指标和性能评估方法。

更新日期:2021-02-02
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