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Article Navigation >  Journal of Traffic and Transportation Engineering  > 2019  >  19(3): 178-190
LI Xiao-chi, XU Zhi-gang, CHEN Ting, ZHAO Xiang-mo. Heterogeneous vehicular network selection method considering network congestion and system fairness[J]. Journal of Traffic and Transportation Engineering, 2019, 19(3): 178-190. doi: 10.19818/j.cnki.1671-1637.2019.03.018
Citation: LI Xiao-chi, XU Zhi-gang, CHEN Ting, ZHAO Xiang-mo. Heterogeneous vehicular network selection method considering network congestion and system fairness[J]. Journal of Traffic and Transportation Engineering, 2019, 19(3): 178-190. doi: 10.19818/j.cnki.1671-1637.2019.03.018
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Heterogeneous vehicular network selection method considering network congestion and system fairness

doi: 10.19818/j.cnki.1671-1637.2019.03.018

  • School of Information Engineering, Chang'an University, Xi'an 710064, Shaanxi, China

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  • Author Bio:

    LI Xiao-chi(1991-), male, doctoral student, xcli@chd.edu.cn

    ZHAO Xiang-mo(1966-), male, professor, PhD, xmzhao@chd.edu.cn

  • Received Date: 2018-12-16
  • Publish Date: 2019-06-25
    Abstract
  • The bounded rationality characteristic of evolutionary game was used to implement the network selection, and the network resource of heterogeneous vehicular network system was evenly distributed. The fairness of the system was guaranteed by optimizing evolutionary game with two-layer game while some of the vehicles can transmit message in extreme congestion. The network simulation scene combined with dedicated short-range communication (DSRC), long-term evolution, and wireless local area network was designed, and the traditional method based on multiple criteria decision making, the network selection method based on evolutionary game, and the network selection method based on two-layer game were compared. Simulation result shows that the large scale ping-pong effects of dynamic network environment in heterogeneous vehicular network switching was firstly solved by using the heterogeneous vehicular network selection method based on evolutionary game and two-layer game. The two-layer game can suppress congestion and provide system fairness. The network selection method based on two-layer game can drive the heterogeneous network system to achieve the stability of network system state in 2-3 switching cycles. In the preset dynamic network evaluation condition and the general scene with 80 terminals, the terminal average network evaluation index of two-layer game is 19.5% higher than that of evolutionary game, and it provides reliable services for three kinds of network cooperation. In the extreme congestion scenario with 190 terminals, the terminals are reasonably distributed and share the DSRC network resources. The terminal average network evaluation index of two-layer game is 10.3% higher than that of evolutionary game, and the evaluation index of two-layer game DSRC network is 2.18 times of evolutionary game. Therefore, the basic safety messages broadcast, system fairness and basic connected vehicle service can be ensured.

     

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