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

dc.contributor.authorAissa, Mohamed
dc.contributor.authorBouhdid, Badia
dc.contributor.authorMnaouer, Adel Ben
dc.contributor.authorBelghith, AissaAbdelfettah
dc.contributor.authorAlAhmadi, Saad
dc.descriptionThis 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:
dc.description.abstractVehicular 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.sponsorshipKing Saud University Deanship of Scientific Research, King Saud University RGP‐1439‐023en_US
dc.identifier.citationAissa, 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.
dc.publisherWiley Blackwellen_US
dc.relationAuthors 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.ispartofseriesTransactions on Emerging Telecommunications Technologies;
dc.rightsLicense to reuse the abstract has been secured from John Wiley and Sons and Copyright Clearance Center.
dc.rights.holderCopyright : 2020 John Wiley & Sons, Ltd.
dc.titleSOFCluster: Safety-oriented, fuzzy logic-based clustering scheme for vehicular ad hoc networksen_US
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
2.01 KB
Item-specific license agreed upon to submission