未来车辆雾计算网络

惠宁; 伍杰; 周一青; 刘玲; 潘振岗

doi:10.11959/j.issn.1000-0801.2020175

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未来车辆雾计算网络

专题：智能边缘计算 | 更新时间：2024-06-05

- 未来车辆雾计算网络
- Future vehicular fog computing networks
- 电信科学 2020年36卷第6期页码：14-27
- 作者机构：
  
  1. 中国科学院计算技术研究所，北京 100190
  2. 移动计算与新型终端北京市重点实验室，北京 100190
  3. 中国科学院大学，北京 100049
  4. 北京紫光展锐通信技术有限公司，北京 100190
- 作者简介：
  
  [ "惠宁（1995- ），女，中国科学院计算技术研究所博士生，主要研究方向为通信与计算融合、移动边缘计算、车联网融合区块链技术等" ]
  [ "伍杰（1994- ），男，中国科学院计算技术研究所硕士生，主要研究方向为通信与计算融合、无线定位技术、融合定位技术等" ]
  [ "周一青（1975- ），女，中国科学院大学教授，中国科学院计算技术研究所“百人计划”研究员、博士生导师，无线通信技术研究中心副主任，移动计算与新型终端北京市重点实验室研究员，主要研究方向为移动通信、通信与计算融合等。已在相关领域发表论文100 多篇，曾获得WCSP2019、IEEE ICC2018、ISCIT2016、IEEE PIMRC2015、CCS2014、WCNC013最佳论文奖及China Communications、IEEE Transactions on Vehicular Technology 期刊最佳编辑奖等" ]
  [ "刘玲（1990- ），女，中国科学院计算技术研究所助理研究员，主要研究方向为移动通信、通信与计算融合、无线资源管理等" ]
  [ "潘振岗（1975- ），男，北京紫光展锐通信技术有限公司中央研究院先进通信技术实验室主任（副总裁），主要研究方向为无线信号处理、多天线系统、信道编解码、跨层优化等" ]
- 基金信息：
  
  国家自然科学基金青年科学基金资助项目;The National Natural Science Youth Fund(61901452);中国科学院计算技术研究所创新项目;The Innovative Project of ICT ICAS(20196110)
- DOI：10.11959/j.issn.1000-0801.2020175
  中图分类号： TN911
- 网络出版日期：2020-06，
  
  纸质出版日期：2020-06-20
- 稿件说明：
移动端阅览
惠宁, 伍杰, 周一青, 等. 未来车辆雾计算网络[J]. 电信科学, 2020,36(6):14-27.

Ning HUI, Jie WU, Yiqing ZHOU, et al. Future vehicular fog computing networks[J]. Telecommunications science, 2020, 36(6): 14-27.
惠宁, 伍杰, 周一青, 等. 未来车辆雾计算网络[J]. 电信科学, 2020,36(6):14-27. DOI： 10.11959/j.issn.1000-0801.2020175.

Ning HUI, Jie WU, Yiqing ZHOU, et al. Future vehicular fog computing networks[J]. Telecommunications science, 2020, 36(6): 14-27. DOI： 10.11959/j.issn.1000-0801.2020175.

摘要

面向安全、可靠的车辆行驶需求，车联网对信息传输和处理的实时性要求高、对数据存储和使用的安全性要求高、对网络架构的灵活性和包容性要求高。未来车辆雾计算网络基于雾计算部署于网络边缘的特点，可降低数据的传输和处理时延；基于雾计算黑盒操作的特点，有利于保障数据安全；基于雾计算分布式架构，可实现异构车辆节点的互联互通与资源共享。对未来车辆雾计算网络进行了综述，介绍了车辆雾计算的架构、挑战与关键技术，着重分析移动状态下的通信与计算资源的共享与任务协同处理、车辆雾计算的安全性以及车辆雾计算设施的异构性。最后提出了车辆雾计算网络三级管控架构，推动车联网向网联协同决策与控制发展。

Abstract

Facing the requirements of secure and reliable vehicle driving

internet of vehicles requires high real-time information transmission and processing

high data storage and security using capacity

and high flexibility and inclusiveness of network architecture.The future vehicular fog computing network can reduce the data transmission and processing delay based on the characteristics of fog computing deployed at the edge of the network

can ensure data security based on the characteristics of fog computing black box operation

and can make heterogeneous facilities connect with other devices and make sure resource sharing between vehicle nodes based on the fog computing distributed architecture.The future vehicular fog computing networks were reviewed

the architecture

challenges

and key technologies of vehicle fog computing were introduced

the communication and computing resource sharing and task collaboration in the mobile state

vehicle fog computing security

and vehicle fog computing heterogeneity of facilities were focused on .Finally

a three-level management and control architecture for vehicular fog computing networks were proposed to promote the development of internet of vehicles to on-networking collaborative decision-making and control.

关键词

Keywords

references

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