TY  - JOUR
T1  - Optimized Adaptive Spectrum Sensing Technique Using Game Theory
Model for Cognitive Radio Networks
AU - Zhagi, P. Ariva AU - Kumar, P. Karthigai 
JO  - Asian Journal of Information Technology
VL  - 15
IS  - 21
SP  - 4145
EP  - 4149
PY  - 2016
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2016.4145.4149
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2016.4145.4149
KW  - Cognitive radio networks
KW  -spectrum sensing
KW  -game theory
KW  -energy detection
KW  -utility function
AB  - In Cognitive Radio Networks, though energy detection technique is simple with short sensing time, its performance is poor under low Signal to Noise Ratio (SNR) conditions. Hence in this study, we propose to design an optimized adaptive spectrum sensing technique Using Game Theory Model for Cognitive Radio Networks. Initially, the secondary users decide the sensing technique to be applied based on the utility function in terms of the energy and throughput. By simulation results, we show that the proposed technique maximizes the energy efficiency and detection accuracy.
ER  -