Improved many-to-one architecture based on discrete wavelet packet transform for industrial IoT applications using channel coding - Université de Lorraine Access content directly
Journal Articles Journal of Ambient Intelligence and Humanized Computing Year : 2021

Improved many-to-one architecture based on discrete wavelet packet transform for industrial IoT applications using channel coding

Abstract

Nowadays, the Industrial Internet of Things (IIoT), plays an important role in transforming industrial environment by opening up a new area for economic growth and competitiveness in digital Industry 4.0. Using intelligent communication system based on IIoT, will help factories to obtain better profits in the industrial manufacturing markets. For this purpose, this article presents performances in terms of binary error rate of a wide-band IIoT multi-users (or sensors) system under an industrial medium. This medium is simulated as a fading channel including industrial noise, through which the robustness of our system will be studied and improved. This multi-users system is based on IDWPT and DWPT for many-to-one applications. To face the harshness of the industrial environment, an error-correcting code is added to the architecture to improve its robustness. Two error-correcting codes are used, convolutional coding and RS code for 8, 16 and 32 multi-sensors system. This will lead to a comparative analysis of the performance between this two coding techniques.
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Dates and versions

hal-03293231 , version 1 (20-07-2021)

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Safa Saadaoui, Aamre Khalil, Mohamed Tabaa, Mouhamad Chehaitly, Fabrice Monteiro, et al.. Improved many-to-one architecture based on discrete wavelet packet transform for industrial IoT applications using channel coding. Journal of Ambient Intelligence and Humanized Computing, 2021, 12 (1), pp.275-283. ⟨10.1007/s12652-020-01972-6⟩. ⟨hal-03293231⟩
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