基于GPCR的车辆自组织网络路由优化方法

谷志茹; 李敏; 龙永红; 舒小华; 荣青

doi:10.11959/j.issn.1000-436x.2020144

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基于GPCR的车辆自组织网络路由优化方法

学术论文 | 更新时间：2024-06-05

- 基于GPCR的车辆自组织网络路由优化方法
- Routing optimization method based on GPCR for vehicular Ad Hoc network
- 通信学报 2020年41卷第7期页码：152-164
- 作者机构：
  
  湖南工业大学交通工程学院，湖南株洲 412008
- 作者简介：
  
  [ "谷志茹（1979- ），女，湖南株洲人，博士，湖南工业大学副教授、硕士生导师，主要研究方向为智能网络互联、自组织网络" ]
  [ "李敏（1994- ），男，江西赣州人，湖南工业大学硕士生，主要研究方向为智能车联网系统" ]
  [ "龙永红（1968- ），男，湖南株洲人，博士，湖南工业大学教授、硕士生导师，主要研究方向为边缘缓存与区块链技术" ]
  [ "舒小华（1965- ），男，湖南株洲人，博士，湖南工业大学副教授、硕士生导师，主要研究方向为5G/6G通信技术" ]
  [ "荣青（1996- ），女，四川广安人，湖南工业大学硕士生，主要研究方向为智能交通通信系统与装备" ]
- 基金信息：
  
  湖南省自然科学基金资助项目(2018JJ4077);湖南省自然科学基金资助项目(2018JJ4074);湖南省教育厅重点基金资助项目(19A139);湖南省研究生科研创新基金资助项目(CX20190848);株洲市科技人才托举工程基金资助项目(2019TJ-04)
- DOI：10.11959/j.issn.1000-436x.2020144
  中图分类号： TN92
- 网络出版日期：2020-07，
  
  纸质出版日期：2020-07-25
- 稿件说明：
移动端阅览
谷志茹, 李敏, 龙永红, 等. 基于GPCR的车辆自组织网络路由优化方法[J]. 通信学报, 2020,41(7):152-164.

Zhiru GU, Min LI, Yonghong LONG, et al. Routing optimization method based on GPCR for vehicular Ad Hoc network[J]. Journal on communications, 2020, 41(7): 152-164.
谷志茹, 李敏, 龙永红, 等. 基于GPCR的车辆自组织网络路由优化方法[J]. 通信学报, 2020,41(7):152-164. DOI： 10.11959/j.issn.1000-436x.2020144.

Zhiru GU, Min LI, Yonghong LONG, et al. Routing optimization method based on GPCR for vehicular Ad Hoc network[J]. Journal on communications, 2020, 41(7): 152-164. DOI： 10.11959/j.issn.1000-436x.2020144.

摘要

为了改善GPCR协议中的局部最优、路由环路及在稀疏网络中性能不佳等问题，提出了一种基于权重选择的 GPCR（W-GPCR）协议。深入分析节点间距离、运动方向及密度等参数对车辆节点路由的影响，针对现有路由问题，建立复合参数权重模型并设计计算方法，在不同的场景下自适应选择权重参数比，从而得到最优下一跳中继节点。为了验证W-GPCR方法的性能，将其与传统的GPCR和GPSR等现有方法进行对比。结果表明， W-GPCR方法在分组投递率、端到端时延和平均跳数方面均更优。

Abstract

To improve the performance in sparse networks

local optimum

and routing loop in the greedy perimeter coordinator routing (GPCR) protocol

the weighted-GPCR (W-GPCR) protocol was proposed.The relationship between vehicle node routing and other parameters such as the Euclidean distance between node pairs

moving direction and density was profoundly analyzed

the composite parameter weighted model was established and the calculation method was designed for the existing routing problems

the weighted parameter ratio was selected adaptively in different scenarios

so as to obtain the optimal next-hop relay node.In order to verify the performance of the W-GPCR method

the proposed method was compared with the existing methods such as the traditional geographic perimeter stateless routing (GPSR) protocol

GPCR and so on

and the results show that the proposed method is superior to the package delivery ratio

end-to-end delay

and average hop count.

关键词

Keywords

references

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