Enhanced Fuzzy logic-based Cluster Stability in Vehicular ad hoc Network

dc.contributor.author Aissa, Mohamed
dc.contributor.author Bouhdid, Badia
dc.contributor.author Mnaouer, Adel Ben
dc.date.accessioned 2022-04-29T06:33:25Z
dc.date.available 2022-04-29T06:33:25Z
dc.date.copyright © 2021
dc.date.issued 2021
dc.description This conference paper is not available at CUD collection. The version of scholarly record of this paper is published in 2021 International Symposium on Networks, Computers and Communications, ISNCC 2021 (2021), available online at: https://doi.org/10.1109/ISNCC52172.2021.9615872 en_US
dc.description.abstract VANET nodes are characterized by their high mobility and they exhibit different mobility patterns. Therefore, VANET clustering schemes should take into consideration the mobility parameters among neighboring nodes to produce relatively stable clustering structure. This paper proposes a novel cluster head selection Fuzzy Logic-based k-hop distributed clustering scheme for VANETs. This scheme considers the safe inter-distance between vehicles as one of important metrics for cluster head selection. Our contribution deals better with the scalability and stability issues of VANETs and can achieve a high stable cluster topology compared to other schemes. These features make the proposed scheme more suitable for VANETs networks. Simulation proves the effectiveness of the new proposed scheme to create stable clusters by reducing re-clustering overhead and prolonging cluster lifetime compared to other existing clustering schemes for VANET. © 2021 IEEE. en_US
dc.identifier.citation Aissa, M., Bouhdid, B., & Mnaouer, A. B. (2021). Enhanced fuzzy logic-based cluster stability in vehicular ad hoc network. Paper presented at the 2021 International Symposium on Networks, Computers and Communications, ISNCC 2021. https://doi.org/10.1109/ISNCC52172.2021.9615872 en_US
dc.identifier.isbn 978-073811316-6
dc.identifier.uri https://doi.org/10.1109/ISNCC52172.2021.9615872
dc.identifier.uri http://hdl.handle.net/20.500.12519/575
dc.language.iso en en_US
dc.publisher Institute of Electrical and Electronics Engineers Inc. en_US
dc.relation Authors Affiliations : Aissa, M., University Of Nizwa, Nizwa Sultanate Of Oman, Oman; Bouhdid, B., University Of Manouba, ESPRIT School Of Engineering Hana-Lab, ENSI, Tunisia; Mnaouer, A.B., Canadian University Dubai, Department Of C.E.C.S17781, United Arab Emirates
dc.relation.ispartofseries 2021 International Symposium on Networks, Computers and Communications, ISNCC 2021;
dc.rights Authors and/or their employers shall have the right to post the accepted version of IEEE-copyrighted articles on their own personal servers or the servers of their institutions or employers without permission from IEEE
dc.rights.holder Copyright : © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.rights.uri https://www.ieee.org/publications/rights/rights-policies.html
dc.subject Clustering en_US
dc.subject Fuzzy logic system en_US
dc.subject Stability en_US
dc.subject V2V en_US
dc.subject Vehicular networks en_US
dc.title Enhanced Fuzzy logic-based Cluster Stability in Vehicular ad hoc Network en_US
dc.type Conference Paper en_US
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