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首页> 外文期刊>Vehicular Communications >Application aware networks' resource selection decision making technique using group mobility in vehicular cognitive radio networks
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Application aware networks' resource selection decision making technique using group mobility in vehicular cognitive radio networks

机译：应用感知网络的资源选择决策方法在车辆认知无线电网络中使用组移动性

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摘要

Nowadays detonation of holding vehicle has wrought overcrowded traffic. The US Federal Communication Commission officially allocated nearly 75 MHz spectrum in 5.8 GHz band to support vehicular communication and many studies found this band incapable to handle the demand for future data traffic. The application of Cognitive Radio (CR) technology will be utilized to make the Internet of Vehicles (IoV) environment in order to increase the spectrum resource opportunities available for vehicular communication. In the CR networks environment, each network supporting multiple attributes likes mobility, Quality of Service, data rates and bandwidth. Therefore, new challenges including link failures, network volatility, group mobility and decision making for the fair selection of optimal networks' resource in vehicular CR networks have become the focus of the global concern. Contrarily, future applications require the vehicular CR networks to support safety and non-safety applications and services. The contribution of this article is two folds. First, the group mobility feature of vehicular communication is considered in this work and two techniques (GRA based Vehicular CR node Assisted Networks' resource Selection (VANS) and Network Assisted Networks' resource Selection (NANS)) for vehicular CR networks are proposed. Second, a testbed using coded scripting programme and LabVIEW communications system design suite software to universal software radio peripheral (USRP-2954) is considered to analyze the practical realization issues in vehicular CR networks. Furthermore, the performance of the proposed techniques is analyzed and validated through experimental testbed and compared with the conventional decision-making techniques. Results show that the proposed techniques have outperformed traditional techniques. (c) 2020 Elsevier Inc. All rights reserved.
机译：如今，持有车辆的爆炸已经过度拥挤的交通。美国联邦宣传委员会正式分配了5.8 GHz乐队的近75 MHz频谱，以支持车辆通信，许多研究发现这条乐队无法处理对未来数据流量的需求。认知无线电（CR）技术的应用将用于制作车辆（IOV）环境的互联网，以增加可用于车辆通信的频谱资源机会。在CR网络环境中，支持多个属性的每个网络都喜欢移动性，服务质量，数据速率和带宽。因此，包括链路故障，网络波动，集团移动和决策的新挑战，用于公平选择车辆CR网络中最优网络资源的展示已成为全球关注的重点。相反，未来的应用需要车辆CR网络支持安全和非安全应用和服务。这篇文章的贡献是两倍。首先，在该工作中考虑了车辆通信的组移动特征，提出了两种技术（基于GRA的车辆CR节点辅助网络的资源选择（VANS）和网络辅助网络的资源选择（NANS））。其次，使用编码脚本程序和LabVIEW通信系统设计套件软件的测试平均软件（USRP-2954）被认为是分析车辆CR网络中的实际实现问题。此外，通过实验试验平衡并验证所提出的技术的性能，并与传统的决策技术进行比较。结果表明，该技术具有表现优于传统技术。 （c）2020 Elsevier Inc.保留所有权利。

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