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A Multi-criteria based handover algorithm for vehicle-to-infrastructure communications

机译:基于多标准的车辆到基础设施通信切换算法

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摘要

Maintaining seamless quality of service (QoS) requirements for ongoing delay sensitive applications during handover processes for Vehicle-to-Infrastructure (V2I) communication over heterogeneous networks is a challenging task. The situation becomes even more challenging to deal with for multi-tier heterogeneous networks with various network sizes. To overcome the above challenges, we propose a multicriteria-based handover algorithm for V2I communications (V2I-MHA) to be used in multi-tier heterogeneous network environments. V2I-MHA selects the most appropriate underlying target network for handover based on QoS profiles of the ongoing applications and services. Moreover, our proposed algorithm filters out the inappropriate candidate networks using a multi-criteria decision-making technique based on Simple Additive Weighting (SAW) approach. However, our approach ensures that the most appropriate candidate network for handover processes is selected not only based on QoS requirements of the ongoing applications, but also on the knowledge of candidate network parameters (e.g. bandwidth, packet latency, packet losses, and service pricing). A multi-mode vehicle On-Board Unit (OBU) containing Long Term Evolution-Advanced (LTE-A) and Wi-Fi network interface cards is developed in the Riverbed (previously OPNET) simulator for system performance evaluation. The simulation results show that the proposed V2I-MHA outperforms (in terms of handover failure rate and packet losses) the existing handover methods.
机译:维护无缝的服务质量(QoS)对持续延迟敏感应用的要求,用于在交换过程中进行持续的延迟敏感应用(V2I)通过异构网络的通信是一个具有挑战性的任务。处理具有各种网络尺寸的多层异构网络的情况变得更具挑战性。为了克服上述挑战,我们提出了一种用于V2I通信(V2I-MHA)的基于多轨道的切换算法,用于在多层异构网络环境中使用。 V2I-MHA根据正在进行的应用程序和服务的QoS配置文件选择最合适的底层目标网络。此外,我们所提出的算法使用基于简单的添加权重(SAW)方法的多标准决策技术来筛选不适当的候选网络。但是,我们的方法确保了用于切换过程的最合适的候选网络不仅基于正在进行的应用程序的QoS要求,而且还针对候选网络参数的知识(例如带宽,分组延迟,数据包丢失和服务定价)。 。在河床(以前OPNET)模拟器中,开发了一种多模式车载单元(OBU),包括长期演进 - 先进(LTE-A)和Wi-Fi网络接口卡,用于系统性能评估。仿真结果表明,所提出的V2I-MHA优于现有的切换方法(在切换故障率和分组损失方面)。

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