文章摘要
方宇杰,李萌,司鹏搏,杨睿哲,孙恩昌,张延华.无人机技术辅助的车联网:发展与展望[J].高技术通讯(中文),2022,32(12):1262~1272
无人机技术辅助的车联网:发展与展望
Unmanned aerial vehicle-assisted Internet of vehicles: development and prospect
  
DOI:10. 3772/ j. issn. 1002-0470. 2022. 12. 006
中文关键词: 无人机(UAV); 车联网; 通信网络; 数据计算; 智能交通系统
英文关键词: unmanned aerial vehicle (UAV), Internet of vehicle, communications network, data computing, intelligent transportation system
基金项目:
作者单位
方宇杰 (北京工业大学信息学部北京 100124) (先进信息网络北京实验室北京 100124) 
李萌 (北京工业大学信息学部北京 100124) (先进信息网络北京实验室北京 100124) 
司鹏搏 (北京工业大学信息学部北京 100124) (先进信息网络北京实验室北京 100124) 
杨睿哲 (北京工业大学信息学部北京 100124) (先进信息网络北京实验室北京 100124) 
孙恩昌 (北京工业大学信息学部北京 100124) (先进信息网络北京实验室北京 100124) 
张延华 (北京工业大学信息学部北京 100124) (先进信息网络北京实验室北京 100124) 
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中文摘要:
      近年来,车联网作为智能交通系统的关键使能者,带来了沉浸式的用户体验。然而,车联网系统中仍然存在车辆网络连通性差和数据计算处理效率低等问题。无人机(UAV)因其灵活性高、成本低、易于部署等特点,得到了工业界和学术界的广泛关注和深入研究。无人机技术应用于车联网领域,可以显著提高车联网的数据传输性能,更好地促进车联网的发展。本文对无人机辅助的车联网研究现状及其关键技术进行了系统综述。首先,分别简要介绍了车联网和无人机相关研究背景。其次,从路由协议、轨迹优化、内容缓存、计算卸载和安全隐私等方面详细介绍了无人机技术辅助车联网的相关研究进展。最后,讨论了该研究领域面临的挑战和未来发展趋势。
英文摘要:
      In recent years, as a key enabler of intelligent transportation systems, the Internet of vehicles has brought immersive user experiences. However, there are still some problems in the Internet of vehicles system, such as poor connectivity of vehicle network and low efficiency of data calculation and processing. Due to its flexibility, low cost and easy deployment, unmanned aerial vehicle (UAV) has attracted extensive attention and in-depth research in industry and academia. The application of UAV technology in the field of Internet of vehicles can improve the data transmission performance significantly and promote the development of Internet of vehicles efficiently. This paper reviews the research status and key technologies of UAV-assisted Internet of vehicles systematically. Firstly, the research background related to the Internet of vehicles and UAV is briefly introduced. Secondly, the research progress of UAV-assisted vehicle network is introduced in detail from the aspects of routing protocol, trajectory optimization, content cache, computing unload and security and privacy. Finally, the challenges and future trends in this field are discussed.
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