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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-06-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/21/11/3934 |
| _version_ | 1797531045933875200 |
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| author | Oleksandr Lemeshko Jozef Papan Oleksandra Yeremenko Maryna Yevdokymenko Pavel Segec |
| author_facet | Oleksandr Lemeshko Jozef Papan Oleksandra Yeremenko Maryna Yevdokymenko Pavel Segec |
| author_sort | Oleksandr Lemeshko |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-10T10:38:33Z |
| format | Article |
| id | doaj.art-eba8747092b64750b7d39deb18409581 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T10:38:33Z |
| publishDate | 2021-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-eba8747092b64750b7d39deb184095812023-11-21T23:08:39ZengMDPI AGSensors1424-82202021-06-012111393410.3390/s21113934Research and Development of Delay-Sensitive Routing Tensor Model in IoT Core NetworksOleksandr Lemeshko0Jozef Papan1Oleksandra Yeremenko2Maryna Yevdokymenko3Pavel Segec4V.V. Popovskyy Department of Infocommunication Engineering, Kharkiv National University of Radio Electronics, 61166 Kharkiv, UkraineDepartment of InfoCom Networks, University of Žilina, 010 26 Žilina, SlovakiaV.V. Popovskyy Department of Infocommunication Engineering, Kharkiv National University of Radio Electronics, 61166 Kharkiv, UkraineV.V. Popovskyy Department of Infocommunication Engineering, Kharkiv National University of Radio Electronics, 61166 Kharkiv, UkraineDepartment of InfoCom Networks, University of Žilina, 010 26 Žilina, SlovakiaIn 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.https://www.mdpi.com/1424-8220/21/11/3934Internet of Things (IoT)core networkdelay-sensitive routingQuality of Service (QoS)average end-to-end delay |
| spellingShingle | Oleksandr Lemeshko Jozef Papan Oleksandra Yeremenko Maryna Yevdokymenko Pavel Segec Research and Development of Delay-Sensitive Routing Tensor Model in IoT Core Networks Sensors Internet of Things (IoT) core network delay-sensitive routing Quality of Service (QoS) average end-to-end delay |
| 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 | Internet of Things (IoT) core network delay-sensitive routing Quality of Service (QoS) average end-to-end delay |
| url | https://www.mdpi.com/1424-8220/21/11/3934 |
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