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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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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. |
format | Online Article Text |
id | pubmed-8201102 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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