<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Sensor networking is a promising technology that facilitates the monitoring of the physical world using tiny, inexpensive wireless devices that are spatially distributed across a wide region. These networks are highly constrained in power, computational capacities and memory. Incorporation of techniques based on the concept of Compressed Sensing (CS) which aims to encode sparse signals using a much lower sampling rate than the traditional Nyquist approach has revolutionized the wireless network scenarios. An exhaustive survey on the impact and applications of CS in WSN and research challenges has been presented in this paper</p>
</abstract>

Sensor networking is a promising technology that facilitates the monitoring of the physical world using tiny, inexpensive wireless devices that are spatially distributed across a wide region. These networks are highly constrained in power, computational capacities and memory. Incorporation of techniques based on the concept of Compressed Sensing (CS) which aims to encode sparse signals using a much lower sampling rate than the traditional Nyquist approach has revolutionized the wireless network scenarios. An exhaustive survey on the impact and applications of CS in WSN and research challenges has been presented in this paper

A Comprehensive Review On The Impact Of Compressed Sensing In Wireless Sensor Networks

International Journal on Smart Sensing and Intelligent Systems

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Sensor networking is a promising technology that facilitates the monitoring of the physical world using tiny, inexpensive wireless devices that are spatially...

A Comprehensive Review On The Impact Of Compressed Sensing In Wireless Sensor Networks

Online veröffentlicht: 01. Juni 2016

Seitenbereich: 818 - 844

Eingereicht: 02. Feb. 2016

Akzeptiert: 06. Apr. 2016

DOI: https://doi.org/10.21307/ijssis-2017-897

Schlüsselwörter
Compressed Sensing, Data Aggregation, Data Recovery, Distributed Compressed Sensing, Kronecker Compressed Sensing, Wireless Sensor Networks

© 2016 G. Edwin Prem Kumar et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

A Comprehensive Review On The Impact Of Compressed Sensing In Wireless Sensor Networks

Online veröffentlicht: 01. Juni 2016

Seitenbereich: 818 - 844

Eingereicht: 02. Feb. 2016

Akzeptiert: 06. Apr. 2016

DOI: https://doi.org/10.21307/ijssis-2017-897

SchlüsselwörterCompressed Sensing, Data Aggregation, Data Recovery, Distributed Compressed Sensing, Kronecker Compressed Sensing, Wireless Sensor Networks

© 2016 G. Edwin Prem Kumar et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
Compressed Sensing, Data Aggregation, Data Recovery, Distributed Compressed Sensing, Kronecker Compressed Sensing, Wireless Sensor Networks