Journal of Soft Computing Paradigm
IRO Journals
Volume 5 — Issue 2 — June 2023

Snake Optimization Technique for Spectrum Handoff in Cluster based Cognitive Radio Network

https://doi.org/10.36548/jscp.2023.2.004
Judith J
Assistant Professor, Department of ECE, Sethu Institute of Technology, Virudhunagar, Tamil Nadu, India
Rahul Raj K
Department of ECE, Sethu Institute of Technology, Virudhunagar, Tamil Nadu, India
Prawin A
Department of ECE, Sethu Institute of Technology, Virudhunagar, Tamil Nadu, India
Jothi Venkatajalapathi T G
Department of ECE, Sethu Institute of Technology, Virudhunagar, Tamil Nadu, India
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How to Cite

J, Judith, Rahul Raj K, Prawin A, and Jothi Venkatajalapathi T G. 2023. “Snake Optimization Technique for Spectrum Handoff in Cluster Based Cognitive Radio Network”. Journal of Soft Computing Paradigm 5 (2): 134-47. https://doi.org/10.36548/jscp.2023.2.004.
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Keywords

— Cognitive Radio network
— Spectrum Binary Snake Optimization (SBSO)
— M/G/1 queuing model
— Secondary user
— Handoff delay
Published: 06-06-2023

Abstract

In Cognitive Radio (CR) networks, the use of Secondary Users (SU) in the spectrum has an undesirable effect on spectrum handoff, which causes a handoff delay. The handoff procedure can result in service outages and considerable transmission quality delays, making it a regular source of concern for the SU. An effective spectrum handoff strategy that utilizes the Spectrum Binary Snake Optimization (SBSO) algorithm and the M/G/1 queuing model has been proposed in this study. The use of Cluster Based Cooperative Spectrum Sensing improves SU performance and reduces channel congestion. In order to report the active and inactive channels in the spectrum, the cluster head is connected to the SU base station, and a decision report is subsequently generated by the fusion center. With the use of a bitwise and mutation operator format, SBSO reduces the overall service time required for handoff in the approach that is being proposed. The proposed methodology also provides a framework for observing how primary user activity and spectrum handoff delays behave in the presence of potential interruptions in a CR network. The simulation model of the proposed work optimizes the packet delivery ratio with the three benchmark functions, and provides optimal handoff, and is compared to SBSO and other models that offer a better trade off over delay achievement.

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