Compressive Sparse Data Gathering With Low-Rank and Total Variation in Wireless Sensor Networks

Compressive Sparse Data Gathering With Low-Rank and Total Variation in Wireless Sensor Networks

Wireless Sensor Networks (WSNs) have been deeply studied by many researchers and been widely used in many fields. Since a large amount of energy for WSNs is used for sensing and transmitting, researchers come up with many methods to reduce the number of sensed and transmitted data packets. Compressi...

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Bibliographic Details
Main Authors: Yi Xu, Guiling Sun, Tianyu Geng, Bowen Zheng
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Wireless sensor networks
data gathering
optimization methods
total variation
low-rank
Online Access:https://ieeexplore.ieee.org/document/8880602/

Internet

https://ieeexplore.ieee.org/document/8880602/

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