WMSN中基于VSQI压缩反馈的协作节点选择

无线传感器网络中采用协同通信技术进行收集、交换和分析数据，可以有效提高信息精确度，并大大减少节点的能耗。其中协作节点的选择是一个重要问题。考虑在WMSN中应用信息压缩反馈技术，将分布在临近地理位置上的传感器节点的视频流质量指标（Video Stream Quality Index, VSQI）通过控制信道反馈给汇聚节点，可以为协同节点的选择提供支持。本文根据人类视觉特征，提出了一种用于视频流质量估计的方法，并据此综合考虑VSQI信号的设计。由于WMSN中巨大的信息反馈量，将压缩感知（Compressive Sensing, CS）理论应用到VSQI压缩反馈中进行了研究，寻找并验证了与VSQI信号相关的随机测量矩阵与重建准则，实验结果证明基于压缩感知的压缩反馈方法可以降低感知节点端处理复杂度、增强反馈压缩程度，从而确定WMSN中传输节点的协作节点。 

Compressive feedback for Video Stream Quality Index Based Selection of Collaboration node in WMSN

In the field of collection,communication and analysis of the information in the wireless sensor networks,the accuracy of the information can be improved,and the node power consumption can be reduced by using cooperative communication techniques. The selection of cooperative partners is an important issue worthy of study.consider making use of the information feedback technology into wireless multimedia sensor networks(WMSN),to feed the Video Stream Quality Index(VSQI) back to sink node through the control c...