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Resource allocation scheme for CCRN using hybrid Giza Pyramids construction-based complex-valued satin bowerbird optimization

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Abstract

In cooperative cognitive radio networks (CCRN), Primary Users (PUs) share their unused spectrum resources with Secondary Users in order to facilitate cooperative communication in cognitive radio networks (SUs). The novel hybrid Giza Pyramids construction-based Complex valued Satin Bower Optimization (GPC-CSBO) algorithm is proposed in this paper to tackle the multiobjective resource allocation problem in CCRN. To operate the cooperative intermediate nodes and increase their throughput, a variety of constraints are taken into consideration, including the amount of power transmitted, QoS constraints, channel capacity, energy consumption, the priority of resource requests from secondary users (SUs), throughput, fairness evaluation constraints, etc. By constructing a cluster of SUs with the help of the SU base station, the GPC algorithm is used for effective load balancing. By providing 11 different constraints as an input to the hybrid GPC-CSBO algorithm, the SUs message request is prioritized and queued. The hybrid GPC-CSBO algorithm selects an optimal path between the SU to the PU base station based on fairness. The efficiency of the proposed algorithm is evaluated in an IEEE 802.11 WLAN area by comparing the proposed methodology with existing techniques. Throughput, energy efficiency, fairness index, delay, packet delivery, and network lifetime are taken into consideration when determining how effective the proposed approach is.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, St. Joseph’s College of Engineering, Chennai, India

    J. Jean Justus

  2. Department of CSE, S.A Engineering College, Chennai, India

    M. Anuradha

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  1. J. Jean Justus
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  2. M. Anuradha
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Correspondence to J. Jean Justus.

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Justus, J.J., Anuradha, M. Resource allocation scheme for CCRN using hybrid Giza Pyramids construction-based complex-valued satin bowerbird optimization. J Supercomput 79, 4687–4712 (2023). https://doi.org/10.1007/s11227-022-04761-4

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