Abstract—The problem of sensor set selection in cognitive radio networks (CRN) is considered in this paper. Although the method of cooperative spectrum sensing can greatly improve the sensing performance, the consumption of system resources will increase as the number of cooperative sensors increases, therefore, the number of cooperative sensors to use is a compromise between sensing performance and consumption of system resources. Firstly, based on the expression for the probability of detection which is characterized as a function of the number of cooperative sensors and the global average receiving signal to noise ratio, a sensor set selecting method is proposed; then, a confidence based trustless sensor detecting method is presented to delete the trustless sensors from CRN which would add negative effect on the sensor set selecting method; lastly, based on the two methods above, a confidence based sensor set selecting algorithm is proposed, which not only effectively delete the trustless sensors from CRN but also use fewest cooperative sensors to minimize the consumption of system resources, while still having enough for the sensing performance requirements. Analysis and numerical results illustrate the effectiveness and reliability of the proposed algorithm.
Index Terms—Cognitive Radio; Sensor Set Selection; Confidence Distance; Confidence Degree
Xiao Zhang, Jin-long Wang and Qi-hui Wu are with the Institute of Communications Engineering PLA University of Sci. & Tech, Nanjing, China (email: email@example.com).
Cite: Xiao Zhang, Jin-long Wang and Qi-hui Wu, "Sensor Set Selection for Cooperative Spectrum Sensing Based on Confidence Detection," International Journal of Computer Theory and Engineering vol. 2, no. 4, pp. 496-502, 2010.