

FOLLOWUS
Department of Computer Science and Information Technology, Mirpur University of Science and Technology, Mirpur-10250 (AJK), Pakistan
Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur 50603, Malaysia
Department of Software Engineering, University of Kotli, AJK 11100, Pakistan
Department of Mechanical Engineering, Mirpur University of Science and Technology, Mirpur-10250 (AJK), Pakistan
Department of Mechanical Engineering, Faculty of Mechanical Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia
Ingenium Research Group, University of Castilla-La Mancha, Spain
Iftikhar AHMAD, E-mail: ify_ia@yahoo.com
Fausto Pedro GARCíA MáRQUEZ, E-mail: faustopedro.garcia@uclm.es
Received:31 May 2020,
Revised:2021-;8-17,
Published:2021-09
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Iftikhar AHMAD, RafidahMd NOOR, Zaheed AHMED, et al. A cooperative heterogeneous vehicular clustering framework for efficiency improvement[J]. Frontiers of Information Technology & Electronic Engineering, 2021, 22(9): 1247-1259.
Iftikhar AHMAD, RafidahMd NOOR, Zaheed AHMED, et al. A cooperative heterogeneous vehicular clustering framework for efficiency improvement[J]. Frontiers of Information Technology & Electronic Engineering, 2021, 22(9): 1247-1259. DOI: 10.1631/FITEE.2000260.
异构车辆集群集成了多种类型通信网络,可在各种车辆应用中高效运行。长期演进(LTE)和专用短程通信的集成是异构网络的一种普遍形式。这种网络基础设施的异构性和成本/数据共享的不合作性是需要解决的潜在问题。车辆集群框架是解决这些问题的一种方案,但是该框架在部署到现实世界前应经过形式验证。为解决这些问题,提出一种异构的车辆集群框架,称为目标和兴趣感知集群框架。该框架集成了车载自组织网络与LTE网络,以提高道路交通效率。在此基础上,给出该框架的模型系统。使用模型检测技术对该模型进行形式验证,在功能层面评估其性能。为在微观层面评估该框架性能,通过整合最先进的工具创建异构仿真环境。仿真结果表明,与其他方法相比,该框架具有更好性能。
Heterogeneous vehicular clustering integrates multiple types of communication networks to work efficiently for various vehicular applications. One popular form of heterogeneous network is the integration of long-term evolution (LTE) and dedicated short-range communication. The heterogeneity of such a network infrastructure and the non-cooperation involved in sharing cost/data are potential problems to solve. A vehicular clustering framework is one solution to these problems
but the framework should be formally verified and validated before being deployed in the real world. To solve these issues
first
we present a heterogeneous framework
named destination and interest-aware clustering
for vehicular clustering that integrates vehicular ad hoc networks with the LTE network for improving road traffic efficiency. Then
we specify a model system of the proposed framework. The model is formally verified to evaluate its performance at the functional level using a model checking technique. To evaluate the performance of the proposed framework at the micro-level
a heterogeneous simulation environment is created by integrating state-of-the-art tools. The comparison of the simulation results with those of other known approaches shows that our proposed framework performs better.
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