Multi-Attribute Missing Data Reconstruction Based on Adaptive Weighted Nuclear Norm Minimization in IoT

Multi-Attribute Missing Data Reconstruction Based on Adaptive Weighted Nuclear Norm Minimization in IoT

In the Internet of Things, data sets gathered from sensor nodes are missing a significant fraction of data, owing to noise, collision, unreliable links, and unexpected damage. This phenomenon is more serious in some scenarios, which limits the applications of sensor data. It is therefore necessary t...

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Bibliographic Details
Main Authors: Xiang Yu, Xia Fan, Kan Chen, Sirui Duan
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Data reconstruction
Internet of Things (IoT)
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multi-attribute
tensor completion
weighted nuclear norm minimization (WNNM)
Online Access:https://ieeexplore.ieee.org/document/8496753/

Internet

https://ieeexplore.ieee.org/document/8496753/

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