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Evaluation of the performance of a collaborative proposal of multiple access in cognitive radio networks
Cognitive radio networks (CRN) allow for an increase in spectral efficiency and performance of today's wireless networks. Currently, multiple proposals exist in the area of spectral decision-making and mobility; however, very few evaluate the impact of collaboration between secondary users and...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8379679/ https://www.ncbi.nlm.nih.gov/pubmed/34458610 http://dx.doi.org/10.1016/j.heliyon.2021.e07763 |
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author | Giral-Ramírez, Diego Armando Hernández-Suarez, Cesar Augusto Pedraza-Martínez, Luis Fernando |
author_facet | Giral-Ramírez, Diego Armando Hernández-Suarez, Cesar Augusto Pedraza-Martínez, Luis Fernando |
author_sort | Giral-Ramírez, Diego Armando |
collection | PubMed |
description | Cognitive radio networks (CRN) allow for an increase in spectral efficiency and performance of today's wireless networks. Currently, multiple proposals exist in the area of spectral decision-making and mobility; however, very few evaluate the impact of collaboration between secondary users and the performance of spectrum access by many secondary users. Unlike existing works, this article provides a comprehensive quantitative analysis of the performance of CRN taking into account access to the spectrum simultaneously by multiple users and decision making based on collaboration through the exchange of information between nearby secondary users. This proposal is developed through the implementation of four modules: Input Module, Multi-user Module, Collaborative module and Decision-making module, where the results are evaluated comparatively through the handoff rate generated with two multicriteria techniques: Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and Multi-Criteria Optimization and Compromise Solution (VIKOR). The evaluation is carried out taking into account three levels of collaboration, three multi-user access scenarios, and two multi-criteria techniques for a total of 18 simulation scenarios. The results obtained show the importance of implementing collaboration strategies, as for multi-user access, the number of handoffs increases as the number of serial users increases. TOPSIS presented the best results in 76 % of the analyzed cases where VIKOR generated a smaller number of handoffs; TOPSIS maintained good performance with differences not exceeding 90 handoffs. |
format | Online Article Text |
id | pubmed-8379679 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-83796792021-08-27 Evaluation of the performance of a collaborative proposal of multiple access in cognitive radio networks Giral-Ramírez, Diego Armando Hernández-Suarez, Cesar Augusto Pedraza-Martínez, Luis Fernando Heliyon Research Article Cognitive radio networks (CRN) allow for an increase in spectral efficiency and performance of today's wireless networks. Currently, multiple proposals exist in the area of spectral decision-making and mobility; however, very few evaluate the impact of collaboration between secondary users and the performance of spectrum access by many secondary users. Unlike existing works, this article provides a comprehensive quantitative analysis of the performance of CRN taking into account access to the spectrum simultaneously by multiple users and decision making based on collaboration through the exchange of information between nearby secondary users. This proposal is developed through the implementation of four modules: Input Module, Multi-user Module, Collaborative module and Decision-making module, where the results are evaluated comparatively through the handoff rate generated with two multicriteria techniques: Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and Multi-Criteria Optimization and Compromise Solution (VIKOR). The evaluation is carried out taking into account three levels of collaboration, three multi-user access scenarios, and two multi-criteria techniques for a total of 18 simulation scenarios. The results obtained show the importance of implementing collaboration strategies, as for multi-user access, the number of handoffs increases as the number of serial users increases. TOPSIS presented the best results in 76 % of the analyzed cases where VIKOR generated a smaller number of handoffs; TOPSIS maintained good performance with differences not exceeding 90 handoffs. Elsevier 2021-08-13 /pmc/articles/PMC8379679/ /pubmed/34458610 http://dx.doi.org/10.1016/j.heliyon.2021.e07763 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Article Giral-Ramírez, Diego Armando Hernández-Suarez, Cesar Augusto Pedraza-Martínez, Luis Fernando Evaluation of the performance of a collaborative proposal of multiple access in cognitive radio networks |
title | Evaluation of the performance of a collaborative proposal of multiple access in cognitive radio networks |
title_full | Evaluation of the performance of a collaborative proposal of multiple access in cognitive radio networks |
title_fullStr | Evaluation of the performance of a collaborative proposal of multiple access in cognitive radio networks |
title_full_unstemmed | Evaluation of the performance of a collaborative proposal of multiple access in cognitive radio networks |
title_short | Evaluation of the performance of a collaborative proposal of multiple access in cognitive radio networks |
title_sort | evaluation of the performance of a collaborative proposal of multiple access in cognitive radio networks |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8379679/ https://www.ncbi.nlm.nih.gov/pubmed/34458610 http://dx.doi.org/10.1016/j.heliyon.2021.e07763 |
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