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WMSN中基于VSQI压缩反馈的协作节点选择

ISSN号：1003-0530
期刊名称：信号处理
时间：0
页码：828-836
分类：TN915[电子电信—通信与信息系统;电子电信—信息与通信工程]
作者机构：[1]南京邮电大学通信与信息工程学院,江苏南京210003, [2]“宽带无线通信与传感网技术”教育部重点实验室,江苏南京210003
相关基金：国家自然科学基金项目（60972039）; 国家863项目（2009AA01Z241）
相关项目：认知无线网络中多用户协作通信关键技术研究

关键词：协同通信, 压缩反馈, 压缩感知, 无线多媒体传感器网络, 视频流质量指标, Cooperative communication, Compressive feedback, Compressive Sensing, Wireless Multimedia Sensor Network, Video Stream Quality Index

中文摘要：

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。

英文摘要：

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 channel from geographically distributed sensor nodes for supporting on the selection of collaboration node.In this paper,according to human visual characteristics,a video streaming quality estimation method is proposed,and signal VSQI is designed on the basis of that.Moreover,Compressed Sensing（CS） theory is applied to VSQI compression feedback in the experiment because of the large quantity of feedback information.The random measurement matrix associated with VSQI signal,and reconstruction guidelines is tested in the simulation experiment.The simulation results demonstrate that CS based Compressive feedback method can reduce the processing complexity of sensing node side and enhance the degree of compression,and provide the theoretical support for selection the collaboration node.

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