Wireless Sensor Networks Data Processing Summary Based on Compressive Sensing

As a newly proposed theory, compressive sensing (CS) is commonly used in signal processing area. This paper investigates the applications of compressed sensing in wireless sensor networks (WSN). First, the development and research status of compressed sensing technology and wireless sensor networks...

Full description

Saved in:
Bibliographic Details
Published inSensors & transducers Vol. 174; no. 7; p. 67
Main Author Huang, Caiyun
Format Journal Article
LanguageEnglish
Published Toronto IFSA Publishing, S.L 01.07.2014
Subjects
Communications networks
Compressed
Compressed sensing
Data integration
Data processing
Detection
Network security
Networks
Remote sensors
Routing (telecommunications)
Sensors
Signal processing
Sparse signal
Sparsity
Transducers
Wireless networks
Wireless sensor
Online AccessGet full text

Cover

More Information
Summary:As a newly proposed theory, compressive sensing (CS) is commonly used in signal processing area. This paper investigates the applications of compressed sensing in wireless sensor networks (WSN). First, the development and research status of compressed sensing technology and wireless sensor networks are described, then a detailed investigation of WSNs research based on CS are conducted from aspects of data fusion, signal acquisition, signal routing transmission, and signal reconstruction. At the end of the paper, the authors conclude our survey and point out the possible future research directions.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:2306-8515
1726-5479