DocumentCode :
604644
Title :
An energy efficient hybrid co-operative spectrum sensing technique for CRSN
Author :
Hareesh, K. ; Singh, Prashant
Author_Institution :
Dept. of Electron. & Commun. Eng., Nat. Inst. of Technol. Rourkela, Rourkela, India
fYear :
2013
fDate :
22-23 March 2013
Firstpage :
438
Lastpage :
442
Abstract :
Cognitive Radio Sensor Networks (CRSN) demands energy efficient and a cost effective co-operative spectrum sensing techniques which performs well in fading and shadowing environment with optimum values of sensing parameters at low computational complexities. A cluster-based co-operative network architecture, an appropriate choice for effective operation of dynamic spectrum management in CRSN is considered with hybrid spectrum sensing capability. A new energy efficient hybrid co-operative spectrum sensing technique which associates energy and Eigen value based detectors is proposed to improve the sensing efficiency and sensing reliability to enhance the performance of CRSN. All CRSN nodes are equipped with simple energy detectors and the additional task of detection using Eigen value based detectors is being assigned to a detection center. The Data fusion center is responsible for the decision making rules with an eye on the requirements of low energy consumption and low computational complexity of CRSN. Simulation results clarifies the choice for Eigen value based spectrum sensing scheme and makes a comparison between the proposed hybrid scheme and a cyclostationary based hybrid scheme.
Keywords :
cognitive radio; communication complexity; cooperative communication; decision making; eigenvalues and eigenfunctions; radio spectrum management; sensor fusion; wireless sensor networks; CRSN; cognitive radio sensor networks; computational complexities; data fusion; decision making; dynamic spectrum management; eigenvalue; energy efficient hybrid cooperative spectrum sensing technique; fading environment; shadowing environment; Cognitive radio; Covariance matrices; Detectors; Energy efficiency; Noise; Wireless sensor networks; Eigen Value Detection; Energy Efficiency; Hybrid; Spectrum Sensing; cognitive Radio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation, Computing, Communication, Control and Compressed Sensing (iMac4s), 2013 International Multi-Conference on
Conference_Location :
Kottayam
Print_ISBN :
978-1-4673-5089-1
Type :
conf
DOI :
10.1109/iMac4s.2013.6526451
Filename :
6526451
Link To Document :
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