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...

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Main Authors: Diego Armando Giral-Ramírez, Cesar Augusto Hernández-Suarez, Luis Fernando Pedraza-Martínez
Format: Article
Language:English
Published: Elsevier 2021-08-01
Series:Heliyon
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844021018661
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spelling doaj-3e33b35972914a79b5125f3cc97e09bb2021-09-01T12:17:20ZengElsevierHeliyon2405-84402021-08-0178e07763Evaluation of the performance of a collaborative proposal of multiple access in cognitive radio networksDiego Armando Giral-Ramírez0Cesar Augusto Hernández-Suarez1Luis Fernando Pedraza-Martínez2Corresponding author.; Technological Faculty, Universidad Distrital Francisco José de Caldas, Bogotá D.C. 111931, ColombiaCorresponding author.; Technological Faculty, Universidad Distrital Francisco José de Caldas, Bogotá D.C. 111931, ColombiaCorresponding author.; Technological Faculty, Universidad Distrital Francisco José de Caldas, Bogotá D.C. 111931, ColombiaCognitive 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.http://www.sciencedirect.com/science/article/pii/S2405844021018661Cognitive radio networksCollaborative modelsDecision-making modelMulti-user accessMulti-criteria decision-making techniquesSpectral handoff
collection DOAJ
language English
format Article
sources DOAJ
author Diego Armando Giral-Ramírez
Cesar Augusto Hernández-Suarez
Luis Fernando Pedraza-Martínez
spellingShingle Diego Armando Giral-Ramírez
Cesar Augusto Hernández-Suarez
Luis Fernando Pedraza-Martínez
Evaluation of the performance of a collaborative proposal of multiple access in cognitive radio networks
Heliyon
Cognitive radio networks
Collaborative models
Decision-making model
Multi-user access
Multi-criteria decision-making techniques
Spectral handoff
author_facet Diego Armando Giral-Ramírez
Cesar Augusto Hernández-Suarez
Luis Fernando Pedraza-Martínez
author_sort Diego Armando Giral-Ramírez
title 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_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_sort evaluation of the performance of a collaborative proposal of multiple access in cognitive radio networks
publisher Elsevier
series Heliyon
issn 2405-8440
publishDate 2021-08-01
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.
topic Cognitive radio networks
Collaborative models
Decision-making model
Multi-user access
Multi-criteria decision-making techniques
Spectral handoff
url http://www.sciencedirect.com/science/article/pii/S2405844021018661
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AT luisfernandopedrazamartinez evaluationoftheperformanceofacollaborativeproposalofmultipleaccessincognitiveradionetworks
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