基于无标度网络的车联网连通性研究

韩涛; 贺威; 代俊; 左勇; 杨旸; 葛晓虎

doi:10.11959/j.issn.1000-436x.2021101

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基于无标度网络的车联网连通性研究

专题：面向未来移动网络的大规模组网关键技术 | 更新时间：2024-06-05

- 基于无标度网络的车联网连通性研究
- Connectivity analysis of IoV based on scale-free network
- 通信学报 2021年42卷第4期页码：100-108
- 作者机构：
  
  1. 华中科技大学电子信息与通信学院，湖北武汉 430074
  2. 国防科技大学电子科学学院，湖南长沙 410003
  3. 上海科技大学信息科学与技术学院，上海 201210
  4. 鹏城实验室网络通信研究中心，广东深圳 518000
- 作者简介：
  
  [ "韩涛（1970- ），男，湖北武汉人，博士，华中科技大学教授，主要研究方向为移动通信、多媒体通信、计算机网络、车联网等。" ]
  [ "贺威（1992- ），男，湖北武汉人，华中科技大学博士生，主要研究方向为无线通信、车联网、复杂网络、无线传感器网络等。" ]
  [ "代俊（1995- ），女，湖北襄樊人，华中科技大学硕士生，主要研究方向为车联网、大偏差、移动通信、人工智能等。" ]
  [ "左勇（1983- ），男，湖南长沙人，博士，国防科技大学副教授，主要研究方向为卫星通信、物联网、导航与通信融合技术。" ]
  [ "杨旸（1974- ），男，江苏东台人，博士，上海科技大学教授，主要研究方向为 5G/6G 移动通信网络、物联网、多层次算力网络、开放无线测试验证平台等。" ]
  [ "葛晓虎（1972- ），男，湖北武汉人，博士，华中科技大学教授，主要研究方向为移动通信、无线网络中的流量建模、绿色通信等。" ]
- 基金信息：
  
  国家自然科学基金资助项目(62071190)
- DOI：10.11959/j.issn.1000-436x.2021101
  中图分类号： TN92
- 网络首发：2021-04，
  
  纸质出版：2021-04-25
- 稿件说明：
移动端阅览
韩涛, 贺威, 代俊, 等. 基于无标度网络的车联网连通性研究[J]. 通信学报, 2021,42(4):100-108.

Tao HAN, Wei HE, Jun DAI, et al. Connectivity analysis of IoV based on scale-free network[J]. Journal on Communications, 2021, 42(4): 100-108.
韩涛, 贺威, 代俊, 等. 基于无标度网络的车联网连通性研究[J]. 通信学报, 2021,42(4):100-108. DOI： 10.11959/j.issn.1000-436x.2021101.

Tao HAN, Wei HE, Jun DAI, et al. Connectivity analysis of IoV based on scale-free network[J]. Journal on Communications, 2021, 42(4): 100-108. DOI： 10.11959/j.issn.1000-436x.2021101.

摘要

移动车辆的连通性是车联网（IoV）的关键指标之一，它会严重影响数据传输的性能。由于车联网的网络拓扑高频动态变化，车辆之间的通信链路容易频繁地断连。如何降低链路建立的随机性和链路断开概率，提高整体网络的连通性一直是急需解决的关键问题。针对上述问题，在视距路径损耗模型和干扰模型下分析网络的连通性，通过对车联网链路在真实世界的表征，设计动态生长（DN）算法。对车辆节点进行增加、删除和链路的偏好连接后，构建无标度车联网。通过仿真结果分析，网络整体的连通性提升了16%。

Abstract

The connectivity of moving vehicles is one of the critical metrics in Internet of vehicles (IoV) that critically influence the performance of data transmission.Due to the high-frequency dynamic changes of the network topology of the IoV

which causes the link to be easily disconnected frequently.It is a critical issue to reduce the probability of link disconnection

and reducing the randomness of link establishment improves the overall network connectivity.To solve the above problems

the network’s connectivity was analyzed under the line of sight path loss model and the interference model

and the dynamic growth (DN) algorithm was designed through the characterization of the IoV link in the real world.Moreover

a scale-free VANET was built through the network’s addition and deletion of nodes and link preference connections.Simulation results indicate that the overall connectivity of the network is improved by 16%.

关键词

Keywords

references

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