Volume 47 Issue 8
Aug.  2021
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ZHANG Hong, LYU Yuejing. Vulnerability of vehicular ad hoc network based on complex network[J]. Journal of Beijing University of Aeronautics and Astronautics, 2021, 47(8): 1543-1549. doi: 10.13700/j.bh.1001-5965.2020.0292(in Chinese)
Citation: ZHANG Hong, LYU Yuejing. Vulnerability of vehicular ad hoc network based on complex network[J]. Journal of Beijing University of Aeronautics and Astronautics, 2021, 47(8): 1543-1549. doi: 10.13700/j.bh.1001-5965.2020.0292(in Chinese)

Vulnerability of vehicular ad hoc network based on complex network

doi: 10.13700/j.bh.1001-5965.2020.0292
Funds:

Natural Science Foundation of Inner Mongolia Autonomous Region of China 2019MS07021

More Information
  • Corresponding author: ZHANG Hong, E-mail: zh-hong@imu.edu.cn
  • Received Date: 23 Jun 2020
  • Accepted Date: 04 Sep 2020
  • Publish Date: 20 Aug 2021
  • As an important fundamental application of intelligent traffic system, the safe and stable operation of Vehicular Ad Hoc Network (VANET) is indispensable for the transportation system and even the sustainable development of social economy. The largest connected degree, average size of connected components and global network efficiency were used as the vulnerability evaluation metrics for VANET. Based on complex network theory, the VANET simulation model was established through vehicle simulation software (VanetMobiSim). Then, the relationship between the quantitative index of vulnerability and the node removal ratio under random attacks and intentional attacks was analyzed in detail. Furthermore, the influence of the density of nodes, signal radiation radius and patterns of attack on VANET vulnerability was analyzed by simulation experiment. The experimental results show that the VANET has a high vulnerability under intentional attacks; the intentional attacks based on node betweenness destroyed the networks most strongly. The smaller node density and signal radiation radius are, the worse VANET connected degree is and the more vulnerable the network is. The research methodology and results provide the theoretical basis for VANET topology control optimization and network management decision-making.

     

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