Combined Reed-Solomon and Convolutional codes for IWSN based on IDWPT/DWPT Architecture

Aamre Khalil (1) , Safa Saadoui (2) , Mohamed Tabaa (2) , Mouhamad Chehaitly (1) , Fabrice Monteiro (1) , Aziz Oukaira (3) , Abbas Dandache (1)

1 LGIPM - Laboratoire de Génie Informatique, de Production et de Maintenance
2 LPRI - Laboratoire Pluridisciplinaire de Recherche et Innovation
3 UQO - Université du Québec en Outaouais

In contemporary industry, the wireless technologies trend is growing fast, because it will help to reduce cable cost, deployment time, flexibility, enabling wireless monitoring and control systems, and help to be more environment friendly, a huge research effort is done on wireless sensor networks (WSNs), however there are several issues facing the reliability of these wireless systems such that they can be used properly in harsh noisy or dynamic industrial environments, which led to outline the research direction for industrial wireless sensor networks (IWSNs). This article presents performances of a wavelet modulation and channel coding-based architecture of industrial wireless sensor network under an industrial channel. A model of the industrial channel is described, and performances of error correcting codes compared between multiple combinations of reed Solomon and convolutional codes for multiuser applications.

Mots clés: Industry 4.0; Industrial Wireless Sensor Networks (IWSNs); Discrete Wavelet Packet Transform (DWPT); Industrial Noise; Reed Solomon; Convolutional codes

Domaines: Traitement du signal et de l'image [eess.SP]; Electronique; Modélisation et simulation; Théorie de l'information [cs.IT]

Aamre Khalil, Safa Saadoui, Mohamed Tabaa, Mouhamad Chehaitly, Fabrice Monteiro, et al.. Combined Reed-Solomon and Convolutional codes for IWSN based on IDWPT/DWPT Architecture. Procedia Computer Science, 2019, 155, pp.666-671. ⟨10.1016/j.procs.2019.08.095⟩. ⟨hal-02414621⟩