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Adaptation of Vehicular Ad hoc Network Clustering protocol for Smart Transportation

Computers, Materials & Continua 2021年第5期67卷 1353-1368页

作者： Masood Ahmad Abdul Hameed Fasee Ullah Ishtiaq Wahid Atif Khan M.Irfan Uddin Shaq Ahmad Ahmed M.El-Sherbeeny Department of Computer Science Abdul Wali Khan University Mardan23200Pakistan Department of Computing and Technology Iqra UniversityIslamabadPakistan Department of Computer Science and Information Technology Sarhad University of Science and Information TechnologyPeshawar25000Pakistan Department of Computer Science Islamia College PeshawarPeshawar25000Pakistan Institute of Computing Kohat University of Science and TechnologyKohat2600Pakistan Department of Industrial Engineering College of EngineeringKing Saud UniversityRiyadh11421Saudi Arabia

Clustering algorithms optimization can minimize topology maintenance overhead in large scale vehicular Ad hoc networks(VANETs)for smart transportation that results from dynamic topology,limited resources and noncentralized *** performance of a clustering algorithm varies with the underlying mobility model to address the topology maintenance overhead issue in VANETs for smart *** design a robust clustering algorithm,careful attention must be paid to components like mobility models and performance objectives.A clustering algorithm may not perform well with every mobility ***,we propose a supervisory protocol(SP)that observes the mobility pattern of vehicles and identies the realistic Mobility model through microscopic *** analytical model can be used to determine an efcient clustering algorithm for a specic mobility model(MM).SP selects the best clustering scheme according to the mobility model and guarantees a consistent performance throughout VANET *** simulation has performed in three parts that is the central part simulation for setting up the clustering environment,In the second part the clustering algorithms are tested for efciency in a constrained atmosphere for some time and the third part represents the proposed *** simulation results show that the proposed scheme outperforms clustering algorithms such as honey bee algorithm-based clustering and memetic clustering in terms of cluster count,re-afliation rate,control overhead and cluster lifetime.

关键词： Cluster VANET smart transportation supervisory protocol mobility models

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