To remove spectrum scarcity problem, cognitive radio (CR) access has gotten much of the spotlight. Cooperative Spectrum sensing (CSS) models are frequently utilized for looking free channels to be used by CR. As major task in CR networks is spectrum sensing and that makes secondary users (SUs) to sense primary user (PU) actions and come to a decision to utilize free channels. Because of the capability to enhance the detection accuracy of well-known sensing method Cooperative spectrum sensing, which is based on sharing information about channel activities among SUs in the network is widely used. At Fusion Center, certain Hard Decision Fusion (HDF) techniques like logical AND or logical OR may be applied to ascertain the presence of PU. As in CSS sharing of local spectrum sensing result between the cognitive and the FC is challenging process for which the performance of cooperative detection is decided. The limitations offered by the conventional HDF techniques can be greatly overcome by evolutionary techniques which can help the SU to adapt to the prevailing situations. The results illustrates that the sensing probability is significantly enhanced using the Jaya Algorithm. Comparison with other EAs like TLBO further elaborates the fact that Jaya algorithm can be utilized for optimizing CSS problem.
Volume 11 | 07-Special Issue
Pages: 750-756