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

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
Jayakrishna P. S., Greshma V., T. Sudha

Jayakrishna P S., Greshma V. and T Sudha. Energy Efficient Spectrum Sensing Techniques for Cognitive Radio Networks: A Survey. International Journal of Computer Applications 160(4):20-23, February 2017. BibTeX

	author = {Jayakrishna P. S. and Greshma V. and T. Sudha},
	title = {Energy Efficient Spectrum Sensing Techniques for Cognitive Radio Networks: A Survey},
	journal = {International Journal of Computer Applications},
	issue_date = {February 2017},
	volume = {160},
	number = {4},
	month = {Feb},
	year = {2017},
	issn = {0975-8887},
	pages = {20-23},
	numpages = {4},
	url = {},
	doi = {10.5120/ijca2017913033},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


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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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.