Vol.:(0123456789) 1 3 Journal of Ambient Intelligence and Humanized Computing https://doi.org/10.1007/s12652-020-01972-6 ORIGINAL RESEARCH Improved many‑to‑one architecture based on discrete wavelet packet transform for industrial IoT applications using channel coding Safa Saadaoui 1,2  · Aamre Khalil 2  · Mohamed Tabaa 1  · Mouhamad Chehaitly 2  · Fabrice Monteiro 2  · Abbas Dandache 2 Received: 9 August 2019 / Accepted: 6 April 2020 © Springer-Verlag GmbH Germany, part of Springer Nature 2020 Abstract Nowadays, the Industrial Internet of Things (IIoT), plays an important role in transforming industrial environment by open- ing 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 profts 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. Keywords Industrial internet of things (IIoT) · Industrial wireless sensor networks (IWSN) · Impulse radio · Discrete wavelet packet transform (DWPT) · Wireless channel · Channel coding 1 Introduction Industrial Internet of Things (IIoT) are an emerging category of IoT providing great benefts to industrial organizations such efciency, productivity and safety. But in the same time, facing many challenges like reliability and robustness in severe propagation medium as the industrial one (Shen et al. 2004). Due to their low-power and low cost nodes compared to the wired networks, IoT systems are used in industry to make a smart environments where all control systems are auto- mated and quality of services (QoS) are saved (Kumar et al. 2014; Boubiche et al. 2018). Various studies showed the reliability of using the impulse radio and wideband commu- nication for sensor network. Impulse radio modulation is a spread-spectrum multiple access technique that uses impulse signal technology to generate wideband and ultra-wideband signals. Wideband wavelets are used as carriers in order to reduce the power spectral density of transmitted signal and, consequently, to keep interferences caused in the nar- rowband systems low enough. Numerous applications exist using Discrete Wavelet Transform algorithm (DWT) and multi-resolution analysis relying on the wavelets theory. Often, these algorithms are based on flter banks for imple- mented solution (Gao and Yan 2011). The multi-resolution analysis allows the decomposition of signals into coefcients of approximation and details, from a scaling function and a wavelet function, respectively. This implementation is based on a set of cascaded low-pass and high-pass digital flters. In this paper, we propose an improved Many-to-One architec- ture based on Discrete Packet Wavelet Transform (DWPT) for Industrial IoT applications. The paper is organized as follows: in Sect. 2, an over- view of Industrial Internet of Things IIoT based on Discrete Wavelet Packet Transform will be presented. Then, Sect. 3 presents the system model which introduces the industrial propagation channel and Many-to-One communication mode. A discussion section about system robustness will be presented in Sect. 4. It illustrates simulations results for IDWPT/DWPT under industrial channel for both, coded and * Safa Saadaoui safa.saadaoui@univ-lorraine.fr 1 LPRI Lab, EMSI Casablanca, Casablanca, Morocco 2 LGIPM Lab, Lorraine Unversity, Metz, France