Adaptation of Vehicular Ad hoc Network Clustering Protocol for Smart Transportation

作     者：Masood Ahmad Abdul Hameed Fasee Ullah Ishtiaq Wahid Atif Khan M.Irfan Uddin Shaq Ahmad Ahmed M.El-Sherbeeny 

作者机构：Department of Computer ScienceAbdul Wali Khan University Mardan23200Pakistan Department of Computing and TechnologyIqra UniversityIslamabadPakistan Department of Computer Science and Information TechnologySarhad University of Science and Information TechnologyPeshawar25000Pakistan Department of Computer ScienceIslamia College PeshawarPeshawar25000Pakistan Institute of ComputingKohat University of Science and TechnologyKohat2600Pakistan Department of Industrial EngineeringCollege of EngineeringKing Saud UniversityRiyadh11421Saudi Arabia 

出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)

年 卷 期：2021年第67卷第5期

页      面：1353-1368页

核心收录：

学科分类：0831[工学-生物医学工程（可授工学、理学、医学学位）] 0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 0805[工学-材料科学与工程（可授工学、理学学位）] 0701[理学-数学] 0801[工学-力学（可授工学、理学学位）] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：The authors extend their appreciation to King Saud University for funding this work through Researchers supporting project number(RSP-2020/133) King Saud University Riyadh Saudi Arabia 

主　　题：Cluster VANET smart transportation supervisory protocol mobility models 

摘      要：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.