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

dc.contributor.author Aissa, Mohamed
dc.contributor.author Bouhdid, Badia
dc.contributor.author Mnaouer, Adel Ben
dc.contributor.author Belghith, AissaAbdelfettah
dc.contributor.author AlAhmadi, Saad
dc.date.accessioned 2020-06-01T10:47:18Z
dc.date.available 2020-06-01T10:47:18Z
dc.date.copyright 2020
dc.date.issued 2022-03
dc.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 en_US
dc.description.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. en_US
dc.description.sponsorship King Saud University Deanship of Scientific Research, King Saud University RGP‐1439‐023 en_US
dc.identifier.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 en_US
dc.identifier.issn 21615748
dc.identifier.uri https://doi.org/10.1002/ett.3951
dc.identifier.uri http://hdl.handle.net/20.500.12519/213
dc.language.iso en en_US
dc.publisher Wiley Blackwell en_US
dc.relation Authors Affiliations : Aissa, M., University of Nizwa, College of Arts and Sciences, Computer Science Section, Nizwa, Oman; Bouhdid, B., Computer Science Department, ESPRIT School of Engineering, Tunis, Tunisia; Ben Mnaouer, A., Canadian University Dubai, Faculty of Engineering and Architecture, Computer Science Department, Dubai, United Arab Emirates; Belghith, A., King Saud University, College of Computer and Information Sciences, Computer Science Department, Riyadh, Saudi Arabia; AlAhmadi, S., King Saud University, College of Computer and Information Sciences, Computer Science Department, Riyadh, Saudi Arabia
dc.relation.ispartofseries Transactions on Emerging Telecommunications Technologies;
dc.rights License to reuse the abstract has been secured from John Wiley and Sons and Copyright Clearance Center.
dc.rights.holder Copyright : 2020 John Wiley & Sons, Ltd.
dc.rights.uri https://s100.copyright.com/CustomerAdmin/PLF.jsp?ref=16fcad03-b072-42c1-90d8-8934ae4d66de
dc.title SOFCluster: Safety-oriented, fuzzy logic-based clustering scheme for vehicular ad hoc networks en_US
dc.type Article en_US
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