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Energy Efficient Spectrum Sensing Techniques for Cognitive Radio Networks: A Survey

by Jayakrishna P. S., Greshma V., T. Sudha
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 160 - Number 4
Year of Publication: 2017
Authors: Jayakrishna P. S., Greshma V., T. Sudha
10.5120/ijca2017913033

Jayakrishna P. S., Greshma V., T. Sudha . Energy Efficient Spectrum Sensing Techniques for Cognitive Radio Networks: A Survey. International Journal of Computer Applications. 160, 4 ( Feb 2017), 20-23. DOI=10.5120/ijca2017913033

@article{ 10.5120/ijca2017913033,
author = { Jayakrishna P. S., Greshma V., T. Sudha },
title = { Energy Efficient Spectrum Sensing Techniques for Cognitive Radio Networks: A Survey },
journal = { International Journal of Computer Applications },
issue_date = { Feb 2017 },
volume = { 160 },
number = { 4 },
month = { Feb },
year = { 2017 },
issn = { 0975-8887 },
pages = { 20-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume160/number4/27061-2017913033/ },
doi = { 10.5120/ijca2017913033 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:05:45.391302+05:30
%A Jayakrishna P. S.
%A Greshma V.
%A T. Sudha
%T Energy Efficient Spectrum Sensing Techniques for Cognitive Radio Networks: A Survey
%J International Journal of Computer Applications
%@ 0975-8887
%V 160
%N 4
%P 20-23
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Cognitive radio has emerged as a tempting solution for the spectrum scarcity problem. This article focuses on the recent trends in energy efficient spectrum sensing techniques for the Cognitive Radio (CR) technology. The increasing demand of cognitive radio and its application increases the urge to make the emerging technologies as energy efficient as possible. Spectrum sensing which is one of the most complex and power intensive tasks in a cognitive radio system when made energy efficient increases the longevity of the network. This survey focuses on the new and efficient energy aware sensing techniques for cognitive radio networks and compares them.

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Index Terms

Computer Science
Information Sciences

Keywords

Cognitive radio Spectrum sensing Energy efficient sensing Censoring Sleeping Sequential detection Confidence voting Cluster collect forwarding Compressive sensing RL based sensing History assisted sensing WSN assisted sensing Trust based sensing.

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