SNR Analysis in Cooperative Spectrum Sensing for Cognitive Radio

Cognitive users sense for the availability of the spectrum and share the information among each other with the help of fusion center (FC). Along with cognitive users, there could be some malicious users who provide wrong signal about the spectrum sensing and try to misguide called as SSDF attack (Spectrum Sensing Data Falsification). To avoid such attacks from malicious users certain security protocols are designed, but it results into increase in bits to be transmitted which results in reduction of energy efficiency (EE). At the same time cooperative spectrum sensing (CSS) performance gets affected due to noise uncertainty which is a measure of signal to noise ratio (SNR) and it affects the energy efficiency. Considering the number of malicious users and number of bits involved in transmission, the energy efficiency is analyzed through computer simulation for applied logical fusion rule. It is observed that as SNR increases, detection probability increases which in turn will reduce the false detection. Energy efficiency is improved because of reduction in false alarm probability.