Efficient Deer Hunting Optimization Algorithm Based Spectrum Sensing Approach for 6G Communication Networks
R. Pandi Selvam, Kanagaraj Narayanasamy, M. Ilayaraja · 2022
Next-generation sixth generation (6G) networks have the ability to fulfil the high client side requirements. The transitions from 5G to 6G networks take place as the 6G network is anticipated to integrate terrestrial, aerial, and maritime communication into a robust network. It enables the user to accomplish a fast network with maximum reliability. But the restricted accessibility of the spectrum is a major issue in improving the user experience. So, recent technologies such as cognitive radios (CRs) and cooperative spectrum sensing are essential in the design of upcoming networks. Optimum utilization and organization of the accessible spectrum are important to enhance network efficiency. Therefore, this paper presents a novel efficient deer hunting optimization algorithm based spectrum sensing approach (EDHO-SSA) for 6G communication networks. The presented EDHO-SSA technique mainly intends to manage the availability of spectrums that exist in the 6G networks. The EDHO-SSA technique is based on the hunting nature of the deers. It also derives an objective function to define the performance of SS including distinct parameters such as energy and throughput. The experimental result analysis of the EDHO-SSA technique is carried out, and the results are assessed with respect to various measures. The experimental results reported the improved outcomes of the EDHO-SSA technique over the other techniques.