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Partial Matrix Completion Algorithm for Efficient Data Gathering in Wireless Sensor Networks

delete2015-01-01
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PRE
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K
Kefu Yi *
J
Jiangwen Wan
L
Lei Yao
T
Tianyue Bao
DOI:10.1109/LCOMM.2014.2371998delete
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Abstract

Abstract

En 中文
To enable efficient data gathering in wireless sensor networks, a novel partial matrix completion algorithm is proposed by introducing historical data to the original data matrix. The recovery accuracy is further improved by making full use of the band-limited feature of the sensory data. We analyzed the recovery error of the proposed algorithm and derived a theoretical error upper bound. Experimental results on two real-world data sets show that the proposed algorithm achieves good recovery accuracy even when the sampling ratio is very low, which outperforms the state-of-the-art methods.
Keywords:
Discrete Cosine Transform
data gathering
matrix completion
wireless sensor networks
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

IEEE Communications Letters cover
IEEE Communications Letters
IF:
4.4
Papers:
1.3W
Citations:
2.2W

Organization

B
Beihang University
Scholars:
5.2W
Papers: 4.1W
Citations: 37
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