Connectivity analysis of passive cluster with high stability in vehicular wireless network

Gong-an QIU; Zhi-hua BAO; Guo-an ZHANG; Shi-bing ZHANG

doi:10.11959/j.issn.1000-436x.2016218

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Connectivity analysis of passive cluster with high stability in vehicular wireless network

academic paper | 更新时间：2024-06-05

- Connectivity analysis of passive cluster with high stability in vehicular wireless network
- Journal on Communications Vol. 37, Issue 11, Pages: 42-48(2016)
- 作者机构：
  
  南通大学电子信息学院，江苏南通 226019
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(61371111);The National Natural Science Foundation of China(61371112);The National Natural Science Foundation of China(61371113);Application Foundation of the Ministry of Transport of China(2013319825110)
- DOI：10.11959/j.issn.1000-436x.2016218
  CLC： TP393
- Online First：2016-11，
  
  Published：25 November 2016
- 稿件说明：
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Gong-an QIU, Zhi-hua BAO, Guo-an ZHANG, et al. Connectivity analysis of passive cluster with high stability in vehicular wireless network[J]. Journal on Communications, 2016, 37(11): 42-48.
DOI：

Gong-an QIU, Zhi-hua BAO, Guo-an ZHANG, et al. Connectivity analysis of passive cluster with high stability in vehicular wireless network[J]. Journal on Communications, 2016, 37(11): 42-48. DOI： 10.11959/j.issn.1000-436x.2016218.

摘要

提出了基于车辆相对运动速度的车联网被动群集车间通信模型，通过选择平均相对速度和邻居节点数作为输入参数，应用模糊逻辑推举群首，建立高稳定性车节点群集，推导了群集模型的存活时间函数。交通安全消息在车间通过群内广播和群间中继进行传播，针对群内链路连通性，推导了群内节点连通概率与车辆分布密度间的关系。针对群间路径连通性，推导了群间连通概率与群间间距、车辆分布密度间的关系。最后，在满足车辆分布密度前提下计算仿真结果，验证了理论分析结论的合理性，分析结论为高速交通安全消息的车间传播机制应用提供理论参考。

Abstract

A passive cluster model with the maximum lifetime was proposed for vehicle to vehicle communication based on the relative velocity. The cluster head was elected based on the average relative velocity and the neighbor list. The cluster lifetime was deduced as the function of the average relative velocity. The traffic safety messages were dissemi-nated to all cluster members by inter-cluster message broadcasting and intra-cluster message relaying in interconnected vehicular network. The link connectivity probability between the cluster head and members were deduced as the function of the vehicle density for inter-cluster broadcasting. The path connectivity probability between the cluster head and the neighbor cluster head was deduced as the function of the vehicle density and intra-cluster distance for on intra-cluster dis-semination. Simulation results show that the connected probability is suitable for vehicular network under the traffic den-sity constraints.

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references

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