DRG-DCC:A Driving Risk Gaming Based Distributed Congestion Control Method for C-V2X Technology  

作　　者：Lingqiu Zeng Peibing Sa Qingwen Han Lei Ye Letian Yang Cheng Zhang Jiqiang Cheng 

机构地区：[1]College of Computer Science,Chongqing University,Chongqing,400044,China [2]School of Microelectronics and Communication Engineering,Chongqing University,Chongqing,400044,China

出　　处：《Computers, Materials & Continua》2025年第5期2059-2086,共28页计算机、材料和连续体(英文)

基　　金：supported by the special key project of Chongqing Technology Innovation and Application Development under Grant No.cstc2021jscx-gksbX0057;the Special Major Project of Chongqing Technology Innovation and Application Development under Grant No.CSTB2022TIADSTX0003.

摘　　要：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.

关 键 词：Distributed congestion control fuzzy inference driving risk evaluation game theory Nash equilibrium 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]