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Drone Assisted Vehicular Networks: Architecture, Challenges and Opportunities
IEEE NETWORK ( IF 9.3 ) Pub Date : 2018-01-10 , DOI: 10.1109/mnet.2017.1700206
Weisen Shi , Haibo Zhou , Junling Li , Wenchao Xu , Ning Zhang , Xuemin Shen

This article introduces the DAVN, which provides ubiquitous connections for vehicles by efficiently integrating the communication and networking technologies of drones and connected vehicles. Specifically, we first propose a comprehensive architecture of the DAVN and outline its potential services. By cooperating with vehicles and infrastructures, drones can improve vehicle-to-vehicle connectivity, infrastructure coverage, network information collection ability, and network interworking efficiency. We then present the challenges and research opportunities of DAVNs. In addition, a case study is provided to demonstrate the effectiveness of DAVNs by leveraging our designed simulation platform. Simulation results demonstrate that the performance of vehicular networks can be significantly enhanced with the proposed DAVN architecture.

中文翻译:

无人机辅助车载网络:架构,挑战和机遇

本文介绍了DAVN,该DAVN通过有效地集成无人机和已连接车辆的通信和联网技术,为车辆提供了无处不在的连接。具体来说,我们首先提出DAVN的综合架构,并概述其潜在的服务。通过与车辆和基础设施合作,无人机可以改善车辆到车辆的连接性,基础设施覆盖范围,网络信息收集能力和网络互通效率。然后,我们介绍DAVN的挑战和研究机会。此外,还提供了一个案例研究,以利用我们设计的仿真平台来演示DAVN的有效性。仿真结果表明,使用提出的DAVN架构可以显着提高车辆网络的性能。
更新日期:2018-06-05
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