Unbalanced Expander Based Compressive Data Gathering in Clustered Wireless Sensor Networks

Unbalanced Expander Based Compressive Data Gathering in Clustered Wireless Sensor Networks

Conventional compressive sensing-based data gathering (CS-DG) algorithms require a large number of sensors for each compressive sensing measurement, thereby resulting in high energy consumption in clustered wireless sensor networks (WSNs). To solve this problem, we propose a novel energy-efficient C...

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Bibliographic Details
Main Authors: Xiangling Li, Xiaofeng Tao, Guoqiang Mao
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
Compressive sensing
data gathering
unbalanced expander graph
sparse binary matrix
wireless sensor networks
Online Access:https://ieeexplore.ieee.org/document/7912319/

Internet

https://ieeexplore.ieee.org/document/7912319/

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