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Multi-Radio Based Rendezvous Technique for Heterogeneous Cognitive Radio Sensor Network

In a distributed cognitive radio (CR) sensor network, transmission and reception on vacant channels require cognitive radio nodes to achieve rendezvous. Because of the lack of adequate assistance from the network environment, such as the central controller and other nodes, assisted rendezvous for di...

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Autores principales: Islam, Md. Tahidul, Kandeepan, Sithamparanathan, Evans, Robin. J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8123162/
https://www.ncbi.nlm.nih.gov/pubmed/33923308
http://dx.doi.org/10.3390/s21092997
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author Islam, Md. Tahidul
Kandeepan, Sithamparanathan
Evans, Robin. J.
author_facet Islam, Md. Tahidul
Kandeepan, Sithamparanathan
Evans, Robin. J.
author_sort Islam, Md. Tahidul
collection PubMed
description In a distributed cognitive radio (CR) sensor network, transmission and reception on vacant channels require cognitive radio nodes to achieve rendezvous. Because of the lack of adequate assistance from the network environment, such as the central controller and other nodes, assisted rendezvous for distributed CR is inefficient in a dynamic network. As a result, non-assisted blind rendezvous, which is unaware of its counterpart node, has recently led to a lot of interest in the research arena. In this paper, we study a channel rendezvous method based on prime number theory and propose a new multi-radio-based technique for non-assisted rendezvous with the blind and heterogeneous condition. The required time and the optimal number of radios for the guaranteed rendezvous are calculated using probability-based measurement. Analytical expressions for probabilistic guaranteed rendezvous conditions are derived and verified by Monte Carlo simulation. In addition, the maximum time to rendezvous (MTTR) is derived in closed form using statistical and probabilistic analysis. Under different channel conditions, our proposed solution leads to a substantial time reduction for guaranteed rendezvous. For the sake of over-performance of our proposed system, the simulation outcome is compared to a recently proposed heterogeneous and blind rendezvous method. The Matlab simulation results show that our proposed system’s MTTR gains range from [Formula: see text] to over [Formula: see text] for various parametric values of the system model.
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spelling pubmed-81231622021-05-16 Multi-Radio Based Rendezvous Technique for Heterogeneous Cognitive Radio Sensor Network Islam, Md. Tahidul Kandeepan, Sithamparanathan Evans, Robin. J. Sensors (Basel) Communication In a distributed cognitive radio (CR) sensor network, transmission and reception on vacant channels require cognitive radio nodes to achieve rendezvous. Because of the lack of adequate assistance from the network environment, such as the central controller and other nodes, assisted rendezvous for distributed CR is inefficient in a dynamic network. As a result, non-assisted blind rendezvous, which is unaware of its counterpart node, has recently led to a lot of interest in the research arena. In this paper, we study a channel rendezvous method based on prime number theory and propose a new multi-radio-based technique for non-assisted rendezvous with the blind and heterogeneous condition. The required time and the optimal number of radios for the guaranteed rendezvous are calculated using probability-based measurement. Analytical expressions for probabilistic guaranteed rendezvous conditions are derived and verified by Monte Carlo simulation. In addition, the maximum time to rendezvous (MTTR) is derived in closed form using statistical and probabilistic analysis. Under different channel conditions, our proposed solution leads to a substantial time reduction for guaranteed rendezvous. For the sake of over-performance of our proposed system, the simulation outcome is compared to a recently proposed heterogeneous and blind rendezvous method. The Matlab simulation results show that our proposed system’s MTTR gains range from [Formula: see text] to over [Formula: see text] for various parametric values of the system model. MDPI 2021-04-24 /pmc/articles/PMC8123162/ /pubmed/33923308 http://dx.doi.org/10.3390/s21092997 Text en © 2021 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 Communication
Islam, Md. Tahidul
Kandeepan, Sithamparanathan
Evans, Robin. J.
Multi-Radio Based Rendezvous Technique for Heterogeneous Cognitive Radio Sensor Network
title Multi-Radio Based Rendezvous Technique for Heterogeneous Cognitive Radio Sensor Network
title_full Multi-Radio Based Rendezvous Technique for Heterogeneous Cognitive Radio Sensor Network
title_fullStr Multi-Radio Based Rendezvous Technique for Heterogeneous Cognitive Radio Sensor Network
title_full_unstemmed Multi-Radio Based Rendezvous Technique for Heterogeneous Cognitive Radio Sensor Network
title_short Multi-Radio Based Rendezvous Technique for Heterogeneous Cognitive Radio Sensor Network
title_sort multi-radio based rendezvous technique for heterogeneous cognitive radio sensor network
topic Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8123162/
https://www.ncbi.nlm.nih.gov/pubmed/33923308
http://dx.doi.org/10.3390/s21092997
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