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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Main Authors: Huiting Li, Liu Liu, Yiqian Li, Ze Yuan, Kun Zhang
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Sensors
Subjects:
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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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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