Cluster-ID-Based Throughput Improvement in Cognitive Radio Networks for 5G and Beyond-5G IoT Applications
Cognitive radio (CR), which is a common form of wireless communication, consists of a transceiver that is intelligently capable of detecting which communication channels are available to use and which are not. After this detection process, the transceiver avoids the occupied channels while simultane...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9506475/ https://www.ncbi.nlm.nih.gov/pubmed/36144037 http://dx.doi.org/10.3390/mi13091414 |
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author | Devaraj, Stalin Allwin Gurumoorthy, Kambatty Bojan Kumar, Pradeep Jacob, Wilson Stalin Rosita, Prince Jenifer Darling Ali, Tanweer |
author_facet | Devaraj, Stalin Allwin Gurumoorthy, Kambatty Bojan Kumar, Pradeep Jacob, Wilson Stalin Rosita, Prince Jenifer Darling Ali, Tanweer |
author_sort | Devaraj, Stalin Allwin |
collection | PubMed |
description | Cognitive radio (CR), which is a common form of wireless communication, consists of a transceiver that is intelligently capable of detecting which communication channels are available to use and which are not. After this detection process, the transceiver avoids the occupied channels while simultaneously moving into the empty ones. Hence, spectrum shortage and underutilization are key problems that the CR can be proposed to address. In order to obtain a good idea of the spectrum usage in the area where the CRs are located, cooperative spectrum sensing (CSS) can be used. Hence, the primary objective of this research work is to increase the realizable throughput via the cluster-based cooperative spectrum sensing (CBCSS) algorithm. The proposed scheme is anticipated to acquire advanced achievable throughput for 5G and beyond-5G Internet of Things (IoT) applications. Performance parameters, such as achievable throughput, the average number of clusters and energy, have been analyzed for the proposed CBCSS and compared with optimal algorithms. |
format | Online Article Text |
id | pubmed-9506475 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-95064752022-09-24 Cluster-ID-Based Throughput Improvement in Cognitive Radio Networks for 5G and Beyond-5G IoT Applications Devaraj, Stalin Allwin Gurumoorthy, Kambatty Bojan Kumar, Pradeep Jacob, Wilson Stalin Rosita, Prince Jenifer Darling Ali, Tanweer Micromachines (Basel) Article Cognitive radio (CR), which is a common form of wireless communication, consists of a transceiver that is intelligently capable of detecting which communication channels are available to use and which are not. After this detection process, the transceiver avoids the occupied channels while simultaneously moving into the empty ones. Hence, spectrum shortage and underutilization are key problems that the CR can be proposed to address. In order to obtain a good idea of the spectrum usage in the area where the CRs are located, cooperative spectrum sensing (CSS) can be used. Hence, the primary objective of this research work is to increase the realizable throughput via the cluster-based cooperative spectrum sensing (CBCSS) algorithm. The proposed scheme is anticipated to acquire advanced achievable throughput for 5G and beyond-5G Internet of Things (IoT) applications. Performance parameters, such as achievable throughput, the average number of clusters and energy, have been analyzed for the proposed CBCSS and compared with optimal algorithms. MDPI 2022-08-28 /pmc/articles/PMC9506475/ /pubmed/36144037 http://dx.doi.org/10.3390/mi13091414 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Devaraj, Stalin Allwin Gurumoorthy, Kambatty Bojan Kumar, Pradeep Jacob, Wilson Stalin Rosita, Prince Jenifer Darling Ali, Tanweer Cluster-ID-Based Throughput Improvement in Cognitive Radio Networks for 5G and Beyond-5G IoT Applications |
title | Cluster-ID-Based Throughput Improvement in Cognitive Radio Networks for 5G and Beyond-5G IoT Applications |
title_full | Cluster-ID-Based Throughput Improvement in Cognitive Radio Networks for 5G and Beyond-5G IoT Applications |
title_fullStr | Cluster-ID-Based Throughput Improvement in Cognitive Radio Networks for 5G and Beyond-5G IoT Applications |
title_full_unstemmed | Cluster-ID-Based Throughput Improvement in Cognitive Radio Networks for 5G and Beyond-5G IoT Applications |
title_short | Cluster-ID-Based Throughput Improvement in Cognitive Radio Networks for 5G and Beyond-5G IoT Applications |
title_sort | cluster-id-based throughput improvement in cognitive radio networks for 5g and beyond-5g iot applications |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9506475/ https://www.ncbi.nlm.nih.gov/pubmed/36144037 http://dx.doi.org/10.3390/mi13091414 |
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