Intelligent collaborative management technology of virtual resources based on internet of vehicles remote driving

Xinyu PENG; Yang ZHOU; Zhenjiang DONG

doi:10.11959/j.issn.1000-0801.2020123

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Intelligent collaborative management technology of virtual resources based on internet of vehicles remote driving

Topic: Internet of Vehicles and Security | 更新时间：2024-06-05

- Intelligent collaborative management technology of virtual resources based on internet of vehicles remote driving
- Telecommunications Science Vol. 36, Issue 4, Pages: 61-68(2020)
- 作者机构：
  
  1. 南京未来网络产业创新有限公司，江苏南京 211000
  2. 耀维科技南京有限公司，江苏南京 210008；3.深圳市人工智能行业协会，广东深圳 518000
  3. 深圳市人工智能行业协会，广东深圳 518000
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2020123
  CLC： TP393
- Published Online：2020-04，
  
  Published：20 April 2020
- 稿件说明：
移动端阅览
Xinyu PENG, Yang ZHOU, Zhenjiang DONG. Intelligent collaborative management technology of virtual resources based on internet of vehicles remote driving[J]. Telecommunications science, 2020, 36(4): 61-68.
DOI：

Xinyu PENG, Yang ZHOU, Zhenjiang DONG. Intelligent collaborative management technology of virtual resources based on internet of vehicles remote driving[J]. Telecommunications science, 2020, 36(4): 61-68. DOI： 10.11959/j.issn.1000-0801.2020123.

摘要

从车联网远程驾驶应用场景入手，分析远程驾驶对网络通信的具体需求，系统提出技术分析方案。首先，在终端侧引入移动边缘计算（mobile edge computing，MEC）技术，提供低时延、大带宽和高可靠的边缘计算服务；其次，在网络侧进行虚拟资源协同调度和智能故障预测技术分析，完成远程驾驶所需网络资源的全局管理；最后，在平台侧对智能车辆集成控制服务和与SDN云控制中心相关的技术进行分析，从而实现远程驾驶车辆的智能应用。

Abstract

Starting from the application scenario of internet of vehicles remote driving

the specific requirements of remote driving for network communication were analyzed.The technical analysis scheme was put forward systematically.First of all

mobile edge computing technology was introduced on the terminal side to provide

low latency

large bandwidth and high reliability edge computing services.Secondly

virtual resource cooperative scheduling and intelligent fault prediction technology were analyzed on the network side

to complete the global management of network resources for remote driving.Finally

the related technologies of the intelligent vehicle integrated control service and SDN cloud control center were analyzed on the platform side

so that the intelligent application of remote driving vehicle was realized.

关键词

Keywords

references

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