Compressed Sensing of Wireless Sensor Networks Data with Missed Measurements
查看参考文献16篇
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文摘
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In Wireless sensor networks (WSNs), missed measurements may be caused by the sensor malfunction and interruption of communication between sensor nodes. The feasibility of exact recovery of WSNs data with missed measurements is analyzed in the framework of compressed sensing. A new incomplete measurement model was developed and the data reconstruction algorithm was proposed. The required number of the missing measurements and the sparsity condition of network data are found for exact compressed sensing ofWSNs data. Theoretical derivation shows that aWSNs data of length N with no more than M/(log(N/M)+1) nonzero coefficients can be exactly recovered with M Gaussian measurements, provided that fraction of the missed measurements is less than a quarter of the Restricted isometry property (RIP) constant squared. Simulation results validate the theoretical results. |
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来源
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Chinese Journal of Electronics
,2015,24(2):388-392 【核心库】
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DOI
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10.1049/cje.2015.04.027
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关键词
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Wireless sensor networks
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Compressed sensing
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Missed measurements
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Data reconstruction
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地址
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1.
Chongqing Communication Institute, Chongqing, 400035
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China Electronic System Engineering Company, Shenyang, 110005
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University of Electronic Science and Technology of China, Chengdu, 610054
4.
Beijing University of Posts and Telecommunications, Beijing, 100876
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语种
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英文 |
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文献类型
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研究性论文 |
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ISSN
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1022-4653 |
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学科
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电子技术、通信技术;自动化技术、计算机技术 |
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基金
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国家教育部新世纪优秀人才支持计划
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the Program for Innovative Research Team in University of Chongqing
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the Key Project of Chongqing Natural Science Foundation
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the Program for Fundamental and Advanced Research of Chongqing
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文献收藏号
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CSCD:5555360
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