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Energy Efficient Analysis of CRN-A Hybrid Approach

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Abstract

In recent years, the 6G technology has been increased in many different applications especially in mobile communications. So, the mobile data growth is increased which creates the issues in the control plane load (IoE, IoT). These problems are solved by efficient utilization of the resources and reduce the energy consumption in the cognitive radio network (CRN). In literature, many methods are developed by researchers to manage the spectrum sensing as well as energy efficient operation, but its sill require the improvement to increase the system efficiency and capacity. Hence, in this paper, the oppositional function based chimp optimization algorithm (OFCOA) method is developed in the CRN to manage the energy as well as resource allocation. The proposed method is a combination of the oppositional function (OF) and chimp optimization algorithm (COA). In the COA, the optimal solution process is enhanced with the consumption of the OF. The proposed method is enabling energy efficient operation in CRN by manage the energy with the consideration of spectrum sensing. The proposed method is validated with the consideration of four conditions of primary user (PU) and secondary user (SU) with channel occupation and detection in CRN network. The proposed methodology is implemented in MATLAB and performances are evaluated by performance metrices such as throughput, network life time, delivery ratio, delay, drop, energy consumption and overhead. The performance of the proposed methodology is compared with the conventional methods such as chimp optimization algorithm (COA), whale optimization algorithm (WOA) and particle swarm optimization (PSO) respectively.

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The already existing algorithms data used to support the findings of this study have not been made available.

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Authors and Affiliations

  1. CMS College of Engineering and Technology, Coimbatore, TamilNadu, India

    M. Pravin

  2. Sri Shakti Institute of Engineering and Technology, Coimbatore, TamilNadu, India

    T. V. P. Sundararajan

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  1. M. Pravin
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  2. T. V. P. Sundararajan
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Pravin, M., Sundararajan, T.V.P. Energy Efficient Analysis of CRN-A Hybrid Approach. J. Electr. Eng. Technol. 19, 739–751 (2024). https://doi.org/10.1007/s42835-023-01585-x

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