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

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dc.contributor.authorAissa, Mohamed
dc.contributor.authorBouhdid, Badia
dc.contributor.authorMnaouer, Adel Ben
dc.date.accessioned2022-04-29T06:33:25Z
dc.date.available2022-04-29T06:33:25Z
dc.date.copyright© 2021
dc.date.issued2021
dc.descriptionThis 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/ISNCC52172.2021.9615872en_US
dc.description.abstractVANET 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.citationAissa, 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/ISNCC52172.2021.9615872en_US
dc.identifier.isbn978-073811316-6
dc.identifier.urihttps://doi.org/10.1109/ISNCC52172.2021.9615872
dc.identifier.urihttp://hdl.handle.net/20.500.12519/575
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relationAuthors 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.ispartofseries2021 International Symposium on Networks, Computers and Communications, ISNCC 2021;
dc.rightsAuthors 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.holderCopyright : © 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.urihttps://www.ieee.org/publications/rights/rights-policies.html
dc.subjectClusteringen_US
dc.subjectFuzzy logic systemen_US
dc.subjectStabilityen_US
dc.subjectV2Ven_US
dc.subjectVehicular networksen_US
dc.titleEnhanced Fuzzy logic-based Cluster Stability in Vehicular ad hoc Networken_US
dc.typeConference Paperen_US

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