A secure multifactor-based clustering scheme for internet of vehicles

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dc.authoridHabbal, Adib/0000-0002-3939-2609
dc.authoridHAMOUDA, Hassen/0000-0002-2009-2665
dc.authoridAlaidaros, Hashem/0009-0008-8585-2232
dc.authoridM. KARIM, Sulaiman/0000-0002-2334-9577
dc.contributor.authorKarim, Sulaiman M.
dc.contributor.authorHabbal, Adib
dc.contributor.authorHamouda, Hassen
dc.contributor.authorAlaidaros, Hashem
dc.date.accessioned2024-09-29T15:57:40Z
dc.date.available2024-09-29T15:57:40Z
dc.date.issued2023
dc.departmentKarabük Üniversitesien_US
dc.description.abstractThe development of the Internet of Vehicles (IoV) has been made possible through a variety of communication technologies and advanced AI techniques. In this context, ensuring stable and efficient communication for IoV is extremely important. It addresses several challenges related to security issues, high dynamism, constant connection outages, and the expected high traffic density. To overcome these challenges, vehicle clustering is a viable strategy for a reliable communication environment. The majority of current research focuses on solving the problem of cluster stability and efficiency by utilizing one or multiple factors, particularly vehicle location, mobility, and behavior. This article introduces an efficient Multifactor Clustering Scheme for IoV (MFCS-IoV). MFCS-IoV includes two stages: cluster formation and cluster head selection. The cluster formation is based on the improved K-means algorithm, considering both the vehicle mobility and final destination within the driving zone. While, a weighted cluster fitness function that includes mobility, behavior, dynamic location, and security is used to optimally select the Cluster Head (CH). Blockchain technology has been integrated into the model to safeguard the privacy of information like destination and other vehicle parameters. Simulation results demonstrate the success of MFCS-IoV in partitioning the vehicles into stable clusters and selecting the optimal cluster heads based on the proposed parameters. The effectiveness of MFCS-IoV is demonstrated by simulating different scenarios of 50 to 300 vehicles in the driving area. A comparison with related works shows that MFCS-IoV outperforms other schemes regarding average node-to-node delay, packet delivery rate, and throughput. Additionally, the proposed MFCS-IoV increases communication reliability by providing stable clusters while maintaining security measures.en_US
dc.description.sponsorshipDeanship of Scientific Research at Majmaah University [R-2023-863]en_US
dc.description.sponsorshipThe author would like to thank Deanship of Scientific Research at Majmaah University for supporting this work under Project Number No. R-2023-863.en_US
dc.identifier.doi10.1016/j.jksuci.2023.101867
dc.identifier.issn1319-1578
dc.identifier.issn2213-1248
dc.identifier.issue10en_US
dc.identifier.scopus2-s2.0-85179485171en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1016/j.jksuci.2023.101867
dc.identifier.urihttps://hdl.handle.net/20.500.14619/4927
dc.identifier.volume35en_US
dc.identifier.wosWOS:001132785500001en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofJournal of King Saud University-Computer and Information Sciencesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectBlockchainen_US
dc.subjectIntelligent Transportation Systemen_US
dc.subjectIoVen_US
dc.subjectMultifactor clusteringen_US
dc.subjectSecurityen_US
dc.titleA secure multifactor-based clustering scheme for internet of vehiclesen_US
dc.typeArticleen_US

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