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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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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