Clustering Review in Vehicular Ad hoc Networks: Algorithms, Comparisons, Challenges and Solutions
Dublin Core
Title
Clustering Review in Vehicular Ad hoc Networks: Algorithms, Comparisons, Challenges and Solutions
Subject
VANET, Clustering Algorithms, Performance Parameters
Description
The Vehicular Ad-hoc Network (VANET) represents a new future for dynamic information dissemination between societies. VANET has a wide range of applications in a variety of aspects, including Intelligent Transportation Systems (ITS). VANET has some characteristics, like highly dynamic topology and intermittent connections. These characteristics lead to untrustworthy information transmission in VANET. Vehicle clustering is an efficient approach to improve the scalability of the network and connection reliability. The performance of the clustering is also affected by VANET characteristics. This article provides a comprehensive description of VANET clustering algorithms. The most notable clustering algorithms introduced between 1999 and 2021 are reviewed. A complete survey on clustering in VANETs is provided based upon the clustering process. The clustering process in most algorithms is explored in the aspects of CH selection metrics, cluster formation, and cluster maintenance. The clustering techniques based on some parameters like stability, convergence, overhead, and latency are compared. Some of the most common problems, as well as the approaches employed to solve them, are also discussed. Also, the performance parameters which evaluate the clustering approaches are summarized.
Creator
Jabbar, Mays Kareem
Trabelsi, Hafedh
Source
International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 10 (2022); pp. 25-48
1865-7923
Publisher
International Association of Online Engineering (IAOE), Vienna, Austria
Date
2022-05-24
Rights
Copyright (c) 2022 mays kareem jabbar, Hafedh Trabelsi
https://creativecommons.org/licenses/by/4.0
Relation
Format
application/pdf
Language
eng
Type
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
Identifier
Citation
Mays Jabbar Kareem and Hafedh Trabelsi, Clustering Review in Vehicular Ad hoc Networks: Algorithms, Comparisons, Challenges and Solutions, International Association of Online Engineering (IAOE), Vienna, Austria, 2022, accessed November 23, 2024, https://igi.indrastra.com/items/show/2246