TY  - EJOU
AU  - Zeng, Lingqiu 
AU  - Sa, Peibing 
AU  - Han, Qingwen 
AU  - Ye, Lei 
AU  - Yang, Letian 
AU  - Zhang, Cheng 
AU  - Cheng, Jiqiang 

TI  - DRG-DCC: A Driving Risk Gaming Based Distributed Congestion Control Method for C-V2X Technology
T2  - Computers, Materials \& Continua

PY  - 2025
VL  - 83
IS  - 2
SN  - 1546-2226

AB  - Congestion control is an inherent challenge of V2X (Vehicle to Everything) technologies. Due to the use of a broadcasting mechanism, channel congestion becomes severe with the increase in vehicle density. The researchers suggested reducing the frequency of packet dissemination to relieve congestion, which caused a rise in road driving risk. Obviously, high-risk vehicles should be able to send messages timely to alarm surrounding vehicles. Therefore, packet dissemination frequency should be set according to the corresponding vehicle’s risk level, which is hard to evaluate. In this paper, a two-stage fuzzy inference model is constructed to evaluate a vehicle’s risk level, while a congestion control algorithm DRG-DCC (Driving Risk Game-Distributed Congestion Control) is proposed. Moreover, HPSO is employed to find optimal solutions. The simulation results show that the proposed method adjusts the transmission frequency based on driving risk, effectively striking a balance between transmission delay and channel busy rate.
KW  - Distributed congestion control; fuzzy inference; driving risk evaluation; game theory; Nash equilibrium

DO  - 10.32604/cmc.2025.060392