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Optimal Relay Node Selection Using Multi-Objective based Pity Beetle Optimization Algorithm for Cognitive Radio Networks

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Abstract

The performance analysis of the multi-objective pity beetle optimization algorithm for selecting the optimal relay node was discussed in this paper. We take advantage of optimum node selection techniques to improve network communication between primary users (PU) and secondary users (SU) where secondary users are called relay nodes. The objective functions are defined to identify the best relay node in order to achieve the maximum signal-to-interference-plus-noise ratio (SINR) obtained at secondary user. Through considering certain objective functions in the algorithm as a fitness function, optimal relay node is selected. Each chosen relay node function collectively to communicate between source and destination node. The results from the simulations shows that, compared to other evolutionary algorithms the proposed relay selection method provide reduced power consumption, better transmission probability and achievable data rate.

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai, India

    G. Kalaimagal

  2. Department of Telecommunication Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai, India

    M. S. Vasanthi

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  1. G. Kalaimagal
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  2. M. S. Vasanthi
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Correspondence to G. Kalaimagal.

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Kalaimagal, G., Vasanthi, M.S. Optimal Relay Node Selection Using Multi-Objective based Pity Beetle Optimization Algorithm for Cognitive Radio Networks. Wireless Pers Commun 121, 319–335 (2021). https://doi.org/10.1007/s11277-021-08637-3

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  • DOI: https://doi.org/10.1007/s11277-021-08637-3

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