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蜂窝/IEEE 802.11p混合车载网络中基于软件定义网络的切换方案

SDN-based Handover Scheme in Cellular/IEEE 802.11p Hybrid Vehicular Networks.

作者信息

Duo Ran, Wu Celimuge, Yoshinaga Tsutomu, Zhang Jiefang, Ji Yusheng

机构信息

Graduate School of Informatics and Engineering, The University of Electro-Communications, Tokyo 1828585, Japan.

Institute of Intelligent Media Technology, Communication University of Zhejiang, Hangzhou 310019, China.

出版信息

Sensors (Basel). 2020 Feb 17;20(4):1082. doi: 10.3390/s20041082.

Abstract

With the arrival of 5G, the wireless network will be provided with abundant spectrum resources, massive data transmissions and low latency communications, which makes Vehicle-to-Everything applications possible. However, VANETs always accompany with frequent network topology changes due to the highly mobile feature of vehicles. As a result, the network performance will be affected by the frequent handover. In this paper, a seamless handover schemeis proposed where the Software-Defined Networking (SDN) and Mobile Edge Computing (MEC) technologies are employed to adapt to the dynamic topology change in VANETs. The introductionof SDN provides a global view of network topology and centralized control, which enables a stable transmission layer connection when a handover takes place, so that the upper layer performance isnot influenced by the network changes. By employing MEC server, the data are cached in advance before a handover happens, so that the vehicle can restore normal communication faster. In order toconfirm the superiority of our proposal, computer simulations are conducted from different aspects. The results show that our proposal can significantly improve the network performance when ahandover happens.

摘要

随着5G的到来,无线网络将具备丰富的频谱资源、海量的数据传输和低延迟通信,这使得车联网(V2X)应用成为可能。然而,由于车辆的高移动性,车联网(VANETs)总是伴随着频繁的网络拓扑变化。因此,频繁的切换会影响网络性能。本文提出了一种无缝切换方案,该方案采用软件定义网络(SDN)和移动边缘计算(MEC)技术来适应车联网中动态的拓扑变化。软件定义网络(SDN)的引入提供了网络拓扑的全局视图和集中控制,这使得在切换发生时能够建立稳定的传输层连接,从而使上层性能不受网络变化的影响。通过使用移动边缘计算(MEC)服务器,在切换发生之前提前缓存数据,以便车辆能够更快地恢复正常通信。为了验证我们方案的优越性,从不同方面进行了计算机模拟。结果表明,我们的方案在切换发生时能够显著提高网络性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/08f2/7070749/028c55a27def/sensors-20-01082-g001.jpg

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