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Research and Development of Delay-Sensitive Routing Tensor Model in IoT Core Networks

In the article, we present the research and development of an improved delay-sensitive routing tensor model for the core of the IoT network. The flow-based tensor model is considered within the coordinate system of interpolar paths and internal node pairs. The advantage of the presented model is the...

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Autores principales: Lemeshko, Oleksandr, Papan, Jozef, Yeremenko, Oleksandra, Yevdokymenko, Maryna, Segec, Pavel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8201102/
https://www.ncbi.nlm.nih.gov/pubmed/34200420
http://dx.doi.org/10.3390/s21113934
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author Lemeshko, Oleksandr
Papan, Jozef
Yeremenko, Oleksandra
Yevdokymenko, Maryna
Segec, Pavel
author_facet Lemeshko, Oleksandr
Papan, Jozef
Yeremenko, Oleksandra
Yevdokymenko, Maryna
Segec, Pavel
author_sort Lemeshko, Oleksandr
collection PubMed
description In the article, we present the research and development of an improved delay-sensitive routing tensor model for the core of the IoT network. The flow-based tensor model is considered within the coordinate system of interpolar paths and internal node pairs. The advantage of the presented model is the application for IoT architectures to ensure the Quality of Service under the parameters of bandwidth, average end-to-end delay, and the probability of packet loss. Hence, the technical task of delay-sensitive routing is formulated as the optimization problem together with constraints and conditions imposed on the corresponding routing variables. The system of optimality criteria is chosen for an investigation. Each selected criterion concerning the specifics of the demanded routing problem solution aims at the optimal use of available network resources and the improvement of QoS indicators, namely, average end-to-end delay. The analysis of the obtained routing solutions under different criteria is performed. Numerical research of the improved delay-sensitive routing tensor model allowed us to discover its features and proved the adequacy of the results for the multipath order of routing.
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spelling pubmed-82011022021-06-15 Research and Development of Delay-Sensitive Routing Tensor Model in IoT Core Networks Lemeshko, Oleksandr Papan, Jozef Yeremenko, Oleksandra Yevdokymenko, Maryna Segec, Pavel Sensors (Basel) Article In the article, we present the research and development of an improved delay-sensitive routing tensor model for the core of the IoT network. The flow-based tensor model is considered within the coordinate system of interpolar paths and internal node pairs. The advantage of the presented model is the application for IoT architectures to ensure the Quality of Service under the parameters of bandwidth, average end-to-end delay, and the probability of packet loss. Hence, the technical task of delay-sensitive routing is formulated as the optimization problem together with constraints and conditions imposed on the corresponding routing variables. The system of optimality criteria is chosen for an investigation. Each selected criterion concerning the specifics of the demanded routing problem solution aims at the optimal use of available network resources and the improvement of QoS indicators, namely, average end-to-end delay. The analysis of the obtained routing solutions under different criteria is performed. Numerical research of the improved delay-sensitive routing tensor model allowed us to discover its features and proved the adequacy of the results for the multipath order of routing. MDPI 2021-06-07 /pmc/articles/PMC8201102/ /pubmed/34200420 http://dx.doi.org/10.3390/s21113934 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 Article
Lemeshko, Oleksandr
Papan, Jozef
Yeremenko, Oleksandra
Yevdokymenko, Maryna
Segec, Pavel
Research and Development of Delay-Sensitive Routing Tensor Model in IoT Core Networks
title Research and Development of Delay-Sensitive Routing Tensor Model in IoT Core Networks
title_full Research and Development of Delay-Sensitive Routing Tensor Model in IoT Core Networks
title_fullStr Research and Development of Delay-Sensitive Routing Tensor Model in IoT Core Networks
title_full_unstemmed Research and Development of Delay-Sensitive Routing Tensor Model in IoT Core Networks
title_short Research and Development of Delay-Sensitive Routing Tensor Model in IoT Core Networks
title_sort research and development of delay-sensitive routing tensor model in iot core networks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8201102/
https://www.ncbi.nlm.nih.gov/pubmed/34200420
http://dx.doi.org/10.3390/s21113934
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