摘要
车载网络中的功率控制算法D-FPAV在功率值计算精度要求较高时,即计算功率值的步长λ取值较小时,存在计算量较大的问题。该文在D-FPAV算法的基础上提出了一种改进的功率控制算法最速下降功率控制SDPC算法,该算法运用了最速下降法快速收敛的原理。仿真结果表明,SDPC算法能够降低计算迭代次数,提高算法收敛速度,并且使得车辆发送状态信息的功率能够随车辆位置信息和环境的变化快速做出调整,从而能有效地进行信道拥塞控制,有利于提高车辆行驶的安全性。
The transmission power control algorithm D-FPAV(Distributed Fair Power Adjustment for Vehicular environments) becomes computational expensive when required calculation precision is high,i.e.,the step λ is small.In this paper,a novel transmission power control algorithm SDPC(Steepest Descent Power Control) algorithm is proposed to improve D-FPAV.This algorithm is based on the rapid convergence theory of the steepest descent method.Simulation results show that the effectiveness of SDPC in terms of the number of iterations for computing the transmission power values decreases and converging speed.As a result,the transmission power to transmit their status information can be quickly adaptive to the vehicle dynamic and surroundings situations.Therefore,channel congestion can be effectively controlled and the security of vehicular networks can also be improved.
出处
《电子与信息学报》
EI
CSCD
北大核心
2010年第10期2536-2540,共5页
Journal of Electronics & Information Technology
基金
国家自然科学基金(60702081
60974122)
国家自然科学基金委-广东省联合基金(U0735003)
中国博士后科学基金一等资助项目(20080440201)资助课题
关键词
车载网络
功率控制
拥塞控制
SDPC算法
收敛速度
Vehicular network
Transmission power control
Congestion control
SDPC (Steepest Decent Power Control) algorithm
Convergence speed