earticle

영어

This paper suggests an effective channel choice algorithm for 2nd users in Cognitive Radio Sensor Network. The suggested algorithm is based on learning automata and fuzzy logic. Learning automata shows the result of radio transmission channel learning of 2nd user in channel selection probability value, and fuzzy logic allows consideration of various input variables for final channel selection. Therefore, fuzzy logic considers channel selection probability value that resulted from automata; channel SNR between former user and 2nd user; SNR value among transmitter/receiver 2nd users, and then allows optimum transmission channel selection from multiple available channels. Through the simulation result, it is shown that the suggested algorithm provides higher throughput than existing algorithms.