A Developed Sensing Approach in Cooperative Cognitive Radio Networks

Cognitive radio is a solution to the spectral congestion problem by introducing opportunistic usage of the frequency bands that are not heavily occupied by licensed users. Spectrum sensing is important in cognitive radio to avoid collisions with licensed users and to improve the efficiency of licensed spectrum use, Primary transmitter's signal could not be detected because of the locations of devices(hidden primary user problem). It can be caused by many factors including severe multipath fading or shadowing observed by secondary users. Cooperative cognitive radio network allows different cognitive radio users(SU s) to share sensing information and increase the accuracy of primary user detection, but the complexity increased with increasing the number of CRs thus increasing number of sensing messages caused consume power, which it effected on Cognitive radio lifetime. This thesis addresses the problem of power consumption and enhance the sensing approach by using external node to do spectrum sensing process. The proposed system simulates healthcare data type of (ECG and Endoscopy) in cognitive radio network Environment. Moreover, the proposed system has been done using OMNET++ simulation tool. The proposed cooperative sensing system of Group Manager (GM) enhanced throughput as 1.066% for 6 nodes, 10.655% for 10 nodes, and 14.191 % for 20 nodes compared with the case of without GM. The power consumed decreased for better results as 66.489%., 67.923 % and 88.514%. For the case of 6 Cognitive radio nodes(CR), 10 CR, and 20 CR respectively.