面向视频维护的拥塞感知自适应映射方法及其应用

摘要

To solve the transmission complexity and poor quality of wireless video maintenance in manufacturing system, an congestion awareness dynamic adaptive cross-layer bidirectional mapping algorithm was proposed.According to layered encoding feature of monitoring video data, the video frame was differentiated from other business data.At the same time based on real-time network load, congestion awareness mechanism was introduced in order to dynamically invoke self-adaptive mapping mechanism foreward and backward.It not only prevented network congestion and make full use of network resources but also effectively improved transmission quality of monitoring video.Experiment results demonstrated that the proposed algorithm was applicable to different traffic conditions, not only improved the video transmission quality but also optimized the management and utilization of node queues.%针对生产制造系统中关键区域无线视频维护的传输复杂性和视频质量差等问题,提出了拥塞感知动态自适应双向映射算法.利用监控视频数据分层编码的特点,将视频帧与其他业务数据进行差分服务,同时根据实时网络负载状态引入拥塞感知机制,动态调用自适应前向和后向映射机制,既防止网络拥塞,充分利用网络资源,又有效提高了监控视频的传输质量.通过在不同网络负载条件下的实验表明,该算法不但能够显著改善监控视频传输质量,而且能够优化节点队列管理.