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Partial Matrix Completion Algorithm for Efficient Data Gathering in Wireless Sensor Networks
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DOI：10.1109/LCOMM.2014.2371998.png)
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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.
Keyword:
Discrete Cosine Transform
data gathering
matrix completion
wireless sensor networks
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4.4
论文数:
1.3W
被引数:
2.2W
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