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基于压缩感知的低能耗图像传感器节点研究

Research of low energy consumption image sensor node based on compressed sensing

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【作者】 俞啸张立杨静赵强

【Author】 Yu Xiao;Zhang Li;Yang Jing;Zhao Qiang;School of Medical Information, Xuzhou Medical College;Modern Educational Technology Center, Xuzhou Medical College;School of Medicine Imaging, Xuzhou Medical College;

【机构】 徐州医学院医学信息学院徐州医学院现代教育技术中心徐州医学院医学影像学院

【摘要】 在无线多媒体传感器网络中,多媒体传感器节点的能耗问题是限制其应用和发展的重要因素。从图像编码复杂度和编码压缩率方面对节点的能耗进行分析,研究基于压缩感知(CS)的图像编码理论和节点的能耗模型。然后结合能耗模型,通过实验仿真分析DCT-CS图像编码方案和JEPG图像编码方案的图像编码和传输总能耗。实验结果表明,相比于JPEG方案,DCT-CS方案能够降低节点的总能耗。最后,在STM32F103和CC2530硬件平台上完成基于DCT-CS编码的图像传感器节点软、硬件设计,以达到降低节点能耗的目的。

【Abstract】 It is necessary to improve energy efficiency of WMSN node to maximize prolong the life cycle of the networks,since WMSN ′ energy is limited and media information processing needs large energy consumption. This paper focuses on how to reduce the node data processing and transmission energy consumption with the image coding research. It compares the energy consumption of JPEG coding scheme and the DCT- CS scheme through simulation to analyze the data processing and transmission energy consumption of these two schemes. The results show that the DCT- CS scheme can effectively reduce the energy consumption of the image sensor node. At last, it realizes the DVC theory- based encoding scheme on the image sensor node based on STM32F103 and CC2530 hardware platform to reduce energy consumption.

【基金】 江苏省产学研联合创新项目(BY2014033);徐州市科技计划项目(XM13B021);徐州市科技计划项目(XM12B077)
  • 【文献出处】 电子技术应用 ,Application of Electronic Technique , 编辑部邮箱 ,2014年12期
  • 【分类号】TP212.9;TN929.5
  • 【被引频次】2
  • 【下载频次】87
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