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Sparsity-Based Spatial Interpolation in Wireless Sensor Networks
Di Guo ; Guo D(郭迪) ; Xiaobo Qu ; Qu XB(屈小波) ; Lianfen Huang ; Huang LF(黄联芬) ; Yan Yao ; Yao Y(姚彦)
2011-02-25
关键词data interpolation sparsity wireless sensor network
英文摘要The authors would like to thank Ming-Ting Sun at University of Washington and Zicheng Liu at Microsoft for constructive suggestions.; In wireless sensor networks, due to environmental limitations or bad wireless channel conditions, not all sensor samples can be successfully gathered at the sink. In this paper, we try to recover these missing samples without retransmission. The missing samples estimation problem is mathematically formulated as a 2-D spatial interpolation. Assuming the 2-D sensor data can be sparsely represented by a dictionary, a sparsity-based recovery approach by solving for l1 norm minimization is proposed. It is shown that these missing samples can be reasonably recovered based on the null space property of the dictionary. This property also points out the way to choose an appropriate sparsifying dictionary to further reduce the recovery errors. The simulation results on synthetic and real data demonstrate that the proposed approach can recover the missing data reasonably well and that it outperforms the weighted average interpolation methods when the data change relatively fast or blocks of samples are lost. Besides, there exists a range of missing rates where the proposed approach is robust to missing block sizes.; Qualcomm-Tsinghua- Xiamen University Joint Research Program;Fellowship of Postgraduates’ Oversea Study Program for Building High-Level Universities from the China Scholarship Council.
语种英语
出版者MDPI, Basel, Switzerland
内容类型期刊论文
源URL[http://dspace.xmu.edu.cn/handle/2288/11410]  
专题信息技术-已发表论文
推荐引用方式
GB/T 7714
Di Guo,Guo D,Xiaobo Qu,et al. Sparsity-Based Spatial Interpolation in Wireless Sensor Networks[J],2011.
APA Di Guo.,郭迪.,Xiaobo Qu.,屈小波.,Lianfen Huang.,...&姚彦.(2011).Sparsity-Based Spatial Interpolation in Wireless Sensor Networks..
MLA Di Guo,et al."Sparsity-Based Spatial Interpolation in Wireless Sensor Networks".(2011).
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