摘要
为实现车路协同系统中在功耗约束下的混合供电路侧单元的平均传输时延最小化,提出了一种基于概率参数模型的调度优化策略。路侧单元在数据传输过程中的能量、数据和车辆到达时刻存在随机性,采用数据队列、收割能量队列和“车-路”通信链路信道的联合系统状态建立了二维Markov链调度模型,研究了数据传输平均时延与混合能量消耗概率调度策略,通过建立在给定功耗约束下平均传输时延最小的优化目标函数,求解出具有门限结构的最优调度策略。结果表明,最优折中曲线呈分段线性,且每段都对应确定性发送策略及概率组合,仿真验证了理论求解的正确性。
This paper proposes an optimal scheduling strategy based on probabilistic parameter model in cooperative vehicle infrastructure system to solve the problem of minimizing the average data transmission delay of hybrid-powered roadside units with power constraint.The study involves developing a two-dimensional Markov chain scheduling model,by considering the randomness of harvesting energy,data and vehicle arrival and building on the joint state of data queue,harvesting energy queue and vehicle-road communication link channel,and thereby studying the average delay of data transmission and the probabilistic scheduling strategy of hybrid energy consumption;establishing the optimal objective function of minimizing the average transmission delay under the given power consumption constraint;and proving that the optimal scheduling strategy has the characteristics of threshold by solving the linear programming problem and analyzing the solution.The simulation results show that the optimal curve is piece-wise linear,and each segment corresponds to the deterministic transmission strategy and its probability combination,verifying the correctness of the solution.
作者
时颖
Shi Ying(School of Electric & Information Engineering, Heilongjiang University of Science & Technology, Harbin 150022, China;College of Electric & Information Engineering, Harbin Engineering University, Harbin 150001, China)
出处
《黑龙江科技大学学报》
2021年第4期487-493,共7页
Journal of Heilongjiang University of Science And Technology
基金
哈尔滨市人工智能协会重点研发项目(ZKYLX0004)。
关键词
车路协同系统
路侧单元
MARKOV链
调度策略
cooperative vehicle infrastructure system
roadside unit
Markov Chain
scheduling strategy
