Multi-Attribute Data Recovery in Wireless Sensor Networks With Joint Sparsity and Low-Rank Constraints Based on Tensor Completion

Multi-Attribute Data Recovery in Wireless Sensor Networks With Joint Sparsity and Low-Rank Constraints Based on Tensor Completion

In wireless sensor networks (WSNs), data recovery is an indispensable operation for data loss or energy constrained WSNs using sparse sampling. However, the recovery accuracy is not satisfying for WSNs with various sensor types due to the neglect of the correlation among multi-attribute data. In thi...

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Bibliographic Details
Main Authors: Jingfei He, Yatong Zhou, Guiling Sun, Tianyu Geng
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Wireless sensor networks
data recovery
low-rank tensors
sparsity constraints
tensor singular value decomposition
Online Access:https://ieeexplore.ieee.org/document/8843878/

Internet

https://ieeexplore.ieee.org/document/8843878/

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