车联网内容共享的边缘缓存:技术挑战、现有方法和未来方向

Umar Sa'ad, D. Lakew, Sungrae Cho
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引用次数: 3

摘要

今天的汽车已经从机电设备发展到智能、自动和互联的汽车,这些汽车可以相互通信,以提供更安全、更舒适的驾驶体验。这涉及车辆和路边基础设施之间的内容共享,以实现诸如协作驾驶辅助、道路危险警告和多媒体服务等应用。然而,由于车辆的高移动性、频繁的拓扑变化、间歇性的无线连接和干扰等因素,车联网网络(CVNs)中的内容共享极具挑战性。由于移动边缘计算(MEC)的出现,cvn的内容共享受益于邻近优势,以应对这些挑战。在本文中,我们讨论了现有的边缘缓存技术,这些技术已被提出用于车辆网络中可靠的内容交付,并强调了它们的优点和局限性。此外,我们列举了影响最佳边缘缓存的现有技术挑战,并对未来车载网络边缘缓存的研究方向提供了见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Edge Caching for Content Sharing in Vehicular Networks: Technical Challenges, Existing Approaches, and Future Directions
The automobiles of today have evolved from electromechanical contrivances to intelligent, autonomous, and connected vehicles that communicate with one another in order to facilitate safer and more comfortable driving experiences. This involves content sharing between vehicles and roadside infrastructure to enable applications such as cooperative driving assistance, road hazard warning, and multimedia services. However, content sharing in connected vehicular networks (CVNs) is highly challenging owing to factors such as the high mobility of vehicles, frequent topology changes, intermittent wireless connectivity, and interference. Thanks to the advent of mobile edge computing (MEC), content sharing for CVNs benefits from proximity merit to tackle these challenges. In this article, we discuss existing edge caching techniques that have been proposed for reliable content delivery in vehicular networks and highlight their benefits and limitations. Furthermore, we enumerate the existing technical challenges that affect optimal edge caching and provide an insight to future research directions for edge caching in vehicular networks.
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