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Measurement and Characterization of Electromagnetic Noise in Edge Computing Networks for the Industrial Internet of Things
Edge computing and the Internet of Things (IOT) provide the technological basis for the development of intelligent manufacturing nowadays. In order to support the intelligent interconnection and application of all kinds of equipment in the industrial field, edge computing should be equipped close to...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6679246/ https://www.ncbi.nlm.nih.gov/pubmed/31337069 http://dx.doi.org/10.3390/s19143104 |
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author | Li, Huiting Liu, Liu Li, Yiqian Yuan, Ze Zhang, Kun |
author_facet | Li, Huiting Liu, Liu Li, Yiqian Yuan, Ze Zhang, Kun |
author_sort | Li, Huiting |
collection | PubMed |
description | Edge computing and the Internet of Things (IOT) provide the technological basis for the development of intelligent manufacturing nowadays. In order to support the intelligent interconnection and application of all kinds of equipment in the industrial field, edge computing should be equipped close to or embedded in all kinds of equipment nodes in the industrial wireless network. Therefore, it is meaningful to investigate the wireless network design of the Industrial Internet of Things. Low power wireless sensor devices are widely used in the Industrial Internet of Things (IIoT), which are sensitive to electromagnetic noise. The electromagnetic noises in industrial scenarios are significantly different from the conventional assumed white noise. In this paper, the measurement results of electromagnetic noises at three different test positions are given in an automobile factory. The spectrum occupancy of the factory wireless environment in the 300 MHz–3 GHz band was obtained by frequency domain measurement. In the time domain measurement, four statistical parameters of the three bands of 315 MHz, 433 MHz, and 916 MHz were measured, and the electromagnetic noise distributions in different plant areas and different frequency bands were analyzed. According to the measurement results, the time-varying characteristics of electromagnetic noise can be characterized by continuous hidden Markov models (CHMM). These results are informative to the design and optimization for the edge computing networks for IIoT. |
format | Online Article Text |
id | pubmed-6679246 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-66792462019-08-19 Measurement and Characterization of Electromagnetic Noise in Edge Computing Networks for the Industrial Internet of Things Li, Huiting Liu, Liu Li, Yiqian Yuan, Ze Zhang, Kun Sensors (Basel) Article Edge computing and the Internet of Things (IOT) provide the technological basis for the development of intelligent manufacturing nowadays. In order to support the intelligent interconnection and application of all kinds of equipment in the industrial field, edge computing should be equipped close to or embedded in all kinds of equipment nodes in the industrial wireless network. Therefore, it is meaningful to investigate the wireless network design of the Industrial Internet of Things. Low power wireless sensor devices are widely used in the Industrial Internet of Things (IIoT), which are sensitive to electromagnetic noise. The electromagnetic noises in industrial scenarios are significantly different from the conventional assumed white noise. In this paper, the measurement results of electromagnetic noises at three different test positions are given in an automobile factory. The spectrum occupancy of the factory wireless environment in the 300 MHz–3 GHz band was obtained by frequency domain measurement. In the time domain measurement, four statistical parameters of the three bands of 315 MHz, 433 MHz, and 916 MHz were measured, and the electromagnetic noise distributions in different plant areas and different frequency bands were analyzed. According to the measurement results, the time-varying characteristics of electromagnetic noise can be characterized by continuous hidden Markov models (CHMM). These results are informative to the design and optimization for the edge computing networks for IIoT. MDPI 2019-07-13 /pmc/articles/PMC6679246/ /pubmed/31337069 http://dx.doi.org/10.3390/s19143104 Text en © 2019 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Li, Huiting Liu, Liu Li, Yiqian Yuan, Ze Zhang, Kun Measurement and Characterization of Electromagnetic Noise in Edge Computing Networks for the Industrial Internet of Things |
title | Measurement and Characterization of Electromagnetic Noise in Edge Computing Networks for the Industrial Internet of Things |
title_full | Measurement and Characterization of Electromagnetic Noise in Edge Computing Networks for the Industrial Internet of Things |
title_fullStr | Measurement and Characterization of Electromagnetic Noise in Edge Computing Networks for the Industrial Internet of Things |
title_full_unstemmed | Measurement and Characterization of Electromagnetic Noise in Edge Computing Networks for the Industrial Internet of Things |
title_short | Measurement and Characterization of Electromagnetic Noise in Edge Computing Networks for the Industrial Internet of Things |
title_sort | measurement and characterization of electromagnetic noise in edge computing networks for the industrial internet of things |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6679246/ https://www.ncbi.nlm.nih.gov/pubmed/31337069 http://dx.doi.org/10.3390/s19143104 |
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