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作 者:叶小华[1] Ye Xiaohua(College of general education,Liming vocational university,Quanzhou,Fujian 362000,China)
机构地区:[1]黎明职业大学通识教育学院,福建泉州362000
出 处:《伊犁师范大学学报(自然科学版)》2025年第1期84-92,共9页Journal of Yili Normal University(Natural Science Edition)
基 金:福建省中青年教师教育科研项目(科技类)(JAT220713)。
摘 要:鉴于当前车联网数据调控过程中存在的拥塞严重及用户服务质量不足等问题,本文提出了一种基于经济评估机制的车联网数据调控算法.首先,将车联网数据调度问题简化为用户满足度(User Satisfaction,US)、处理周期(Processing Cycle,PC)、数据可靠性(Data Reliability,DR)三个维度,通过构建可量化计算的经济评估函数的方式设计经济评估模型,以便获取最佳经济调度性能.随后,根据网络吞吐性能逐次将经济评估各参数予以精准评估,降低网络调度过程中的用户拒绝现象,改善服务离线性能.仿真实验表明本文算法在高斯信道和拉普拉斯信道环境下能够将拥塞率控制在10%以内,运行一段时间后相应的用户最大服务数也超过10 000个/s,用户离线率均低于6.6%,在莱斯信道条件下本文拥塞率和用户离线率也要低于对照组算法,具有明显的部署优势.In Order To solve the serious congestion and insufficient user service quality in the current process of data regulation in the Internet of Vehicles,this paper proposes an economic evaluation mechanism based [on] algorithm for data regulation in the Internet of Vehicles.Firstly,simplify the data scheduling problem for connected vehicles into three dimensions:User Satisfaction(US),Processing Cycle(PC),and Data Reliability(DR).Design an economic evaluation model by constructing a quantifiable economic evaluation function to obtain the best economic scheduling performance.Subsequently,based on the network throughput performance,the economic evaluation parameters are accurately evaluated step by step to reduce user rejection during network scheduling and improve offline service performance.Simulation experiments show that the algorithm proposed in this paper can control the congestion rate within 10% in both Gaussian and Laplacian channel environments.After running for a period of time,the corresponding maximum number of users served also exceeds 10000/s,and the user offline rate is lower than 6.6%.Under the conditions of the Rice channel,the congestion rate and user offline rate of the algorithm proposed in this paper are also lower than those of the control group,indicating significant deployment advantages.
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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