交通运输系统工程与信息

交通运输系统工程与信息 ›› 2015, Vol. 15 ›› Issue (2): 81-87.

• 智能交通系统与信息技术 • 上一篇    下一篇

车载自组织网络拓扑特性及控制

张宏，李杰*   

  1. 华中科技大学土木工程与力学学院，武汉430074
  • 收稿日期:2014-10-24 修回日期:2014-12-24 出版日期:2015-04-25 发布日期:2015-04-27
  • 作者简介:张宏（1981-），女，内蒙古扎兰屯人，博士生.
  • 基金资助:

    国家自然科学基金面上项目（51078165）.

Topological Characteristics and Control Approach for VANET

ZHANG Hong, LI Jie   

  1. School of Civil Engineering and Mechanics, Huazhong University of Science and Technology, Wuhan 430074, China
  • Received:2014-10-24 Revised:2014-12-24 Online:2015-04-25 Published:2015-04-27

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摘要：

传统的车载自组织网络体系结构研究专注于通信协议及其拓扑，未从宏观角度揭示其网络本质.针对这种情况，提出基于复杂网络理论的车载自组织网络模型.首先介绍模型算法.然后采用平均场理论进行度分布分析，讨论模型特殊情况，判定度分布指数范围，计算度分布及度与次序之间的关系，以度分布满足幂率分布规律验证车载自组织网络的无标度特征.最后以网络状态方程为基础，导出被牵制控制到平衡点的网络状态方程，计算矩阵最大特征值和网络特征值，提出车辆自组织网络牵制控制策略.仿真结果表明，车载自组织网络度分布指数γ >2 ，网络若被牵制到平衡点 -X ，重点控制网络的最大特征值λ1 .

关键词: 智能交通, 拓扑性质, 复杂网络, 车载自组织网络, 牵制控制

Abstract:

The prior knowledge for traditional Vehicular Ad Hoc Network (VANET), such as communication protocol and its topology, didn’t reveal the essence from the macroscopic angle. In view of this, a VANWT model based on complex network is proposed. Firstly, the algorithm of this model is introduced, and then the degree distribution is analyzed using mean- field theory to determine exponent range, and its special circumstances are discussed. The algorithm calculates degree distribution and relationship between degree and order, while degree distribution obeys the power-law to verify the Scale-free property. Finally, we derive the network state equation of controlling to equilibrium point according to network state equation, calculate the maximum eigenvalue of matrix and network eigenvalue, and propose VANET pinning control strategy. Simulation results show that VANET degree distribution exponent γ >2 and control significantly the maximum eigenvalue λ1 if network is pinned to the equilibrium point -X .

Key words: intelligent transportation, topological characteristics, complex network, VANET, pining control

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