SOFCluster: Safety-oriented, fuzzy logic-based clustering scheme for vehicular ad hoc networks

Date
2022-03
Authors
Aissa, Mohamed
Bouhdid, Badia
Mnaouer, Adel Ben
Belghith, AissaAbdelfettah
AlAhmadi, Saad
Journal Title
Journal ISSN
Volume Title
Publisher
Wiley Blackwell
Abstract
Vehicular ad hoc network (VANET) nodes are characterized by their high mobility and by exhibiting different mobility patterns. Therefore, VANET clustering schemes are required to account for the mobility parameters among neighboring nodes to produce relatively stable clustering schemes. In this article, we propose a novel cluster-head (CH) selection scheme for VANETs. This scheme is based on a fuzzy logic-powered, k-hop distributed clustering algorithm. It deals efficiently with scalability and stability issues of VANETs and is able to achieve highly stable clustering topologies as compared with other schemes. Our proposed clustering scheme strives to maintain a safe intervehicle distance as a one prime metric for CH selection. Moreover, a major contribution of our work is the proposal of a novel strategy for constructing fuzzy logic-based clustering algorithms useful for VANETs. This proposed solution is useful in an Internet of things-based setting that involves controlled vehicle-to-vehicle communication. We first derive mathematically, a new average distance estimation formula that is used as a metric for selecting CHs, leading to safer clusters that avoid collisions with front and rear vehicles. Furthermore, the new proposed scheme creates stable clusters by reducing reclustering overhead and prolonging clusters' lifetimes. © 2020 John Wiley & Sons, Ltd.
Description
This article is not available at CUD collection. The version of scholarly record of this Article is published in Transactions on Emerging Telecommunications Technologies (2022), available online at: https://doi.org/10.1002/ett.3951
Keywords
Citation
Aissa, M., Bouhdid, B., Ben Mnaouer, A., Belghith, A., & AlAhmadi, S. (2022). SOFCluster: Safety‐oriented, fuzzy logic‐based clustering scheme for vehicular ad hoc networks. Transactions on Emerging Telecommunications Technologies, 33(3), e3951. https://doi.org/10.1002/ett.3951
URI
https://doi.org/10.1002/ett.3951
 http://hdl.handle.net/20.500.12519/213
DOI
Collections
Department of Computer Engineering and Computational Sciences