Effect of Sensing Duration Optimization in Cooperative Spectrum Sensing Game

Cooperative spectrum sensing conditionally provides outstanding sensing performance in comparison to distributed spectrum sensing. Game theory has already been used to explore such conditions. In this work, sensing samples/sensing duration is dynamically altered in a continuously changing RF environment to achieve maximum throughput. Genetic Algorithm is accessed to optimize sensing samples. Effect of optimum number of samples in spectrum sensing game is also presented.