DocumentCode
3015135
Title
Cooperative wideband spectrum sensing using radio frequency sensor networks
Author
Sönmezer, Volkan ; Tummala, Murali ; McEachen, John ; Adams, Agur
Author_Institution
Dept. of Electr. & Comput. Eng., Naval Postgrad. Sch., Monterey, CA, USA
fYear
2010
fDate
7-10 Nov. 2010
Firstpage
951
Lastpage
955
Abstract
This paper implements spectrum sensing using a radio frequency sensor network and analyzes the performance of this implementation through simulation. A sensor network based cooperative wideband spectrum sensing scheme is proposed for the implementation of this task. In the proposed scheme, wavelet-based multi-resolution spectrum sensing, which was originally proposed for cognitive radio applications, is adapted to radio frequency sensor networks. For cooperation of the nodes in the proposed scheme, a new three-bit hard combination technique is developed. A simulation model is created in MATLAB programming language to implement the proposed scheme and to analyze its simulation performance. The results of the simulation show that the proposed sensor network based cooperative wideband spectrum sensing scheme is appropriate for radio frequency sensor networks and the proposed three-bit hard combination scheme is superior to the traditional hard combination schemes in terms of false alarm reduction.
Keywords
cognitive radio; cooperative communication; mathematics computing; telecommunication computing; wavelet transforms; wireless sensor networks; MATLAB programming language; cognitive radio applications; cooperative wideband spectrum sensing; false alarm reduction; radiofrequency sensor networks; three-bit hard combination technique; wavelet-based multiresolution spectrum sensing; Cognitive radio; Energy resolution; Radio frequency; Sensors; Signal resolution; Signal to noise ratio; Wideband;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers (ASILOMAR), 2010 Conference Record of the Forty Fourth Asilomar Conference on
Conference_Location
Pacific Grove, CA
ISSN
1058-6393
Print_ISBN
978-1-4244-9722-5
Type
conf
DOI
10.1109/ACSSC.2010.5757708
Filename
5757708
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