The cognitive radio network (CRN) is developed as an important technology to future wireless communication and mobile devices. In CRN, the spectrum sensing serves as the fundamental task in secondary user (SU). The cooperative spectrum sensing is commonly employed by cognitive radios (CR), which effectively used available spectrum. In this, the spectrum sensor controls the activities of secondary user to avoid collisions with primary user (PU). Therefore, this work devised the cooperative spectrum sensing of CRN using the novel optimization method. At the beginning, the system model is created, which includes the PU and the SU. Furthermore, the test statistics for the SU signal are performed. The signal from each SU is fused on a fusion center with the decisions of signal elements including signal energy, Eigen statistics, and matching filter. The proposed Adaptive walrus optimization algorithm (Adaptive WaOA) is used to determine the weights, and then the decision is obtained. Furthermore, the evaluation metrics like probability of detection (PD), probability of false alarm (PFA) and sensing time (T) are considered to evaluate the execution of proposed method and hence reduce the sensing delay, sensing errors with the finest outputs like 0.885, 0.176 and 205.5 m sec are obtained in Rician channel environment.