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Information 2019, 10(3), 104; https://doi.org/10.3390/info10030104

Discrete Wavelet Packet Transform-Based Industrial Digital Wireless Communication Systems

1
LPRI, EMSI, Casablanca 20250, Morocco
2
LGIPM, Lorraine University, 57073 Metz, France
3
TIMA, Grenoble Alpes University, 38000 Grenoble, France
*
Authors to whom correspondence should be addressed.
Received: 5 February 2019 / Revised: 26 February 2019 / Accepted: 4 March 2019 / Published: 7 March 2019
(This article belongs to the Section Information and Communications Technology)
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Abstract

The industrial internet of things (IIoT) known as industry 4.0, is the use of internet of things technologies, via the Wireless Sensor Network (WSN), to enhance manufacturing and industrial processes. It incorporates machine learning and big data technologies, to allow machine-to-machine communication that have existed for years in the industrial world. Therefore, it is necessary to propose a robust and functional communication architecture that is based on WSNs, inside factories, in order to show the great interest in the connectivity of things in the industrial environment. In such environment, propagation differs from other conventional indoor mediums, in its large dimensions, and the nature of objects and obstacles inside. Thus, the industrial medium is modeled as a fading channel affected by an impulsive and Gaussian noise. The objective of this paper is to improve robustness and performances of multi-user WSN architecture, based on Discrete Wavelet Transform, under an industrial environment using conventional channel coding and an optimal thresholding receiver. View Full-Text
Keywords: industrial internet of things (IIoT); industrial wireless sensor network (IWSN); discrete wavelet packet transform (DWPT); industrial channel model; channel coding; thresholding receiver industrial internet of things (IIoT); industrial wireless sensor network (IWSN); discrete wavelet packet transform (DWPT); industrial channel model; channel coding; thresholding receiver
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Saadaoui, S.; Tabaa, M.; Monteiro, F.; Chehaitly, M.; Dandache, A. Discrete Wavelet Packet Transform-Based Industrial Digital Wireless Communication Systems. Information 2019, 10, 104.

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