IoT Network Model with Multimodal Node Distribution and Data-Collecting Mechanism Using Mobile Clustering Nodes
In this paper, the novel study of an Internet of Things (IoT) network model with multimodal node distribution and a data-collecting mechanism using mobile clustering nodes is presented. The aim of this work is to introduce the problem of organizing the mobile cluster head IoT network with a heteroge...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-03-01
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| Series: | Electronics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-9292/12/6/1410 |
| _version_ | 1797612203777458176 |
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| author | Darya Vorobyova Ammar Muthanna Alexander Paramonov Oleg A. Markelov Andrey Koucheryavy Gauhar Ali Mohammed ElAffendi Ahmed A. Abd El-Latif |
| author_facet | Darya Vorobyova Ammar Muthanna Alexander Paramonov Oleg A. Markelov Andrey Koucheryavy Gauhar Ali Mohammed ElAffendi Ahmed A. Abd El-Latif |
| author_sort | Darya Vorobyova |
| collection | DOAJ |
| description | In this paper, the novel study of an Internet of Things (IoT) network model with multimodal node distribution and a data-collecting mechanism using mobile clustering nodes is presented. The aim of this work is to introduce the problem of organizing the mobile cluster head IoT network with a heterogeneous distribution node in the service area with multimodal distribution nodes. A new method for clustering a heterogeneous network is proposed, which makes it possible to efficiently identify clusters that differ in terms of the density of nodes. This makes it possible to choose the speed of the mobile cluster head in accordance with the density in each cluster. The proposed method uses the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) clustering algorithm. One of the benefits of our proposed model is the increase in the efficiency of using a mobile cluster head. The new solution can be used to organize data collection in the IoT. |
| first_indexed | 2024-03-11T06:39:02Z |
| format | Article |
| id | doaj.art-96f1e3bcc99c4a7fabec1a0fb0bd0bf9 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-11T06:39:02Z |
| publishDate | 2023-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-96f1e3bcc99c4a7fabec1a0fb0bd0bf92023-11-17T10:45:10ZengMDPI AGElectronics2079-92922023-03-01126141010.3390/electronics12061410IoT Network Model with Multimodal Node Distribution and Data-Collecting Mechanism Using Mobile Clustering NodesDarya Vorobyova0Ammar Muthanna1Alexander Paramonov2Oleg A. Markelov3Andrey Koucheryavy4Gauhar Ali5Mohammed ElAffendi6Ahmed A. Abd El-Latif7Department of Communication Networks and Data Transmission, The Bonch-Bruevich Saint-Petersburg State University of Telecommunications, St. Petersburg 193232, RussiaDepartment of Communication Networks and Data Transmission, The Bonch-Bruevich Saint-Petersburg State University of Telecommunications, St. Petersburg 193232, RussiaDepartment of Communication Networks and Data Transmission, The Bonch-Bruevich Saint-Petersburg State University of Telecommunications, St. Petersburg 193232, RussiaCentre for Digital Telecommunication Technologies, Saint Petersburg Electrotechnical University “LETI”, 5F Professor Popov Street, St. Petersburg 197022, RussiaDepartment of Communication Networks and Data Transmission, The Bonch-Bruevich Saint-Petersburg State University of Telecommunications, St. Petersburg 193232, RussiaEIAS Data Science Lab, College of Computer and Information Sciences, Prince Sultan University, Riyadh 11586, Saudi ArabiaEIAS Data Science Lab, College of Computer and Information Sciences, Prince Sultan University, Riyadh 11586, Saudi ArabiaEIAS Data Science Lab, College of Computer and Information Sciences, Prince Sultan University, Riyadh 11586, Saudi ArabiaIn this paper, the novel study of an Internet of Things (IoT) network model with multimodal node distribution and a data-collecting mechanism using mobile clustering nodes is presented. The aim of this work is to introduce the problem of organizing the mobile cluster head IoT network with a heterogeneous distribution node in the service area with multimodal distribution nodes. A new method for clustering a heterogeneous network is proposed, which makes it possible to efficiently identify clusters that differ in terms of the density of nodes. This makes it possible to choose the speed of the mobile cluster head in accordance with the density in each cluster. The proposed method uses the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) clustering algorithm. One of the benefits of our proposed model is the increase in the efficiency of using a mobile cluster head. The new solution can be used to organize data collection in the IoT.https://www.mdpi.com/2079-9292/12/6/1410IoT networkmobile cluster headclustering algorithmdata collectionmovement speed |
| spellingShingle | Darya Vorobyova Ammar Muthanna Alexander Paramonov Oleg A. Markelov Andrey Koucheryavy Gauhar Ali Mohammed ElAffendi Ahmed A. Abd El-Latif IoT Network Model with Multimodal Node Distribution and Data-Collecting Mechanism Using Mobile Clustering Nodes Electronics IoT network mobile cluster head clustering algorithm data collection movement speed |
| title | IoT Network Model with Multimodal Node Distribution and Data-Collecting Mechanism Using Mobile Clustering Nodes |
| title_full | IoT Network Model with Multimodal Node Distribution and Data-Collecting Mechanism Using Mobile Clustering Nodes |
| title_fullStr | IoT Network Model with Multimodal Node Distribution and Data-Collecting Mechanism Using Mobile Clustering Nodes |
| title_full_unstemmed | IoT Network Model with Multimodal Node Distribution and Data-Collecting Mechanism Using Mobile Clustering Nodes |
| title_short | IoT Network Model with Multimodal Node Distribution and Data-Collecting Mechanism Using Mobile Clustering Nodes |
| title_sort | iot network model with multimodal node distribution and data collecting mechanism using mobile clustering nodes |
| topic | IoT network mobile cluster head clustering algorithm data collection movement speed |
| url | https://www.mdpi.com/2079-9292/12/6/1410 |
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