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...
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MDPI AG
2019-07-01
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Series: | Sensors |
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Online Access: | https://www.mdpi.com/1424-8220/19/14/3104 |
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author | Huiting Li Liu Liu Yiqian Li Ze Yuan Kun Zhang |
author_facet | Huiting Li Liu Liu Yiqian Li Ze Yuan Kun Zhang |
author_sort | Huiting Li |
collection | DOAJ |
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. |
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issn | 1424-8220 |
language | English |
last_indexed | 2024-04-11T13:46:18Z |
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spelling | doaj.art-8c5d9f07373c4c83a1f8b0318efa74fa2022-12-22T04:21:02ZengMDPI AGSensors1424-82202019-07-011914310410.3390/s19143104s19143104Measurement and Characterization of Electromagnetic Noise in Edge Computing Networks for the Industrial Internet of ThingsHuiting Li0Liu Liu1Yiqian Li2Ze Yuan3Kun Zhang4School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, ChinaSchool of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, ChinaSchool of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, ChinaSchool of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, ChinaSchool of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, ChinaEdge 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.https://www.mdpi.com/1424-8220/19/14/3104edge computingIndustrial Internet of Thingselectromagnetic noisemeasurementcontinuous hidden Markov model |
spellingShingle | Huiting Li Liu Liu Yiqian Li Ze Yuan Kun Zhang Measurement and Characterization of Electromagnetic Noise in Edge Computing Networks for the Industrial Internet of Things Sensors edge computing Industrial Internet of Things electromagnetic noise measurement continuous hidden Markov model |
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 | edge computing Industrial Internet of Things electromagnetic noise measurement continuous hidden Markov model |
url | https://www.mdpi.com/1424-8220/19/14/3104 |
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