移动边缘计算下矿山安全监控视频数据流自适应传输  

Adaptive transmission of video data stream for mine safety monitoring under mobile edge computing

作　　者：郑万波 李磊 ZHENG Wanbo;LI Lei(Faculty of Science,Kunming University of Technology,Kunming 650500,China;Data Science Research Center of Kunming University of Science and Technology,Kunming 650500,China)

机构地区：[1]昆明理工大学理学院,云南昆明650500 [2]昆明理工大学数据科学研究中心,云南昆明650500

出　　处：《现代电子技术》2024年第2期74-78,共5页Modern Electronics Technique

基　　金：国家自然科学基金地区基金项目(62162036)。

摘　　要：由于矿山中数据传输存在距离长、受信号干扰等问题,网络延迟较高,使得视频内容出现卡顿或丢帧现象,导致数据传输质量较低。为此,提出一种移动边缘计算下矿山安全监控视频数据流自适应传输方法。构建基于移动边缘计算的传输系统,将不同监控视频数据流卸载任务时延作为约束条件,构建监控视频数据流传输卸载决策生成目标函数,利用遗传算法求解。采用自适应比特率传输算法传输监控视频数据流,通过基于缓冲区的自适应算法与基于速率的自适应算法分别确定数据流传输过程中的客户端视频比特率与可用带宽。实验结果表明,不同网络环境条件下,所提方法视频数据流传输能量显著下降,带宽估计灵敏度更高,用户体验质量提升20%以上。Due to the problems of long distance and signal interference in data transmission in mines,the network delay is high,which makes the video content experience lagging or frame loss,resulting in lower data transmission quality.Therefore,the adaptive transmission method of mine safety surveillance video data stream under moving edge computing is proposed.A transmission system based on moving edge computing is constructed.The delay of different surveillance video data stream unloading tasks is taken as the constraint condition,and the objective function of decision‐making generation of surveillance video data stream unloading is constructed,which is solved by means of genetic algorithm.An adaptive bitrate transmission algorithm is used to transmit surveillance video data stream.The bitrate and available bandwidth of the client are determined by means of the buffer‐based adaptive algorithm and the rate‐based adaptive algorithm,respectively.The experimental results show that under different network conditions,the transmission energy of video data stream is significantly reduced,the bandwidth estimation sensitivity is higher,and user′s experience quality is improved by more than 20%.

关 键 词：视频数据流 自适应传输 移动边缘计算 安全监控 任务卸载 传输能耗 

分 类 号：TN811.1‐34[电子电信—信息与通信工程]