基于被动聚类的车际通信性能评价

Sheng-Shih Wang, Yi-Shiun Lin
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引用次数: 30

摘要

在车载自组织网络(VANET)中,车际通信是各种交通应用中最重要的传输行为之一。已有研究表明,聚类是一种很有前途的移动环境下数据通信解决方案,特别是被动聚类(PC)技术与其他聚类技术相比是一种高效的聚类技术。然而,原有的PC技术没有考虑到vanet的独特特性,因此在车际通信方面可能面临许多挑战。本文提出了三种基于pc的技术,称为vpc,以确定合适的车辆成为集群结构形成的主要参与者。vpc考虑了许多指标,如车辆密度、链路质量和链路可持续性。仿真结果表明,VPCs技术在分组传输率、传输延迟和网络吞吐量等方面均优于PC技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance evaluation of passive clustering based techniques for inter-vehicle communications
Inter-vehicle communication is one of the most significant transmission behaviors for diverse transportation applications in the vehicular ad hoc network (VANET). The existing studies have showed that clustering is a promising solution to data communication under the mobile environment, and especially the passive clustering (PC) technique is the efficient one compared to other clustering techniques. However, the original PC technique does not take into account the unique characteristics of VANETs, and thus it may face many challenges to inter-vehicle communication. This paper proposes three PC-based techniques, called VPCs, to determine the suitable vehicles to become the main participants in cluster structure formation. VPCs consider numerous metrics, such as vehicle density, link quality, and link sustainability. Simulation results demonstrate that VPCs collectively exhibit better performance than the PC technique in packet delivery ratio, delivery delay, and network throughput.
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