Image compression for WSN applied to the process supervision in Industry 4.0 - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2021

Image compression for WSN applied to the process supervision in Industry 4.0

Nesrine Boussaada
Alvaro Llaria
Guillaume Terrasson
Octavian Curea

Résumé

Wireless Sensor Network (WSN) applications in the industrial sector are in permanent evolution due the emergence of the Industry 4.0 concept. Considering this context, Wireless Image Sensor Networks (WISN) appeared as a solution to supervise production processes. In this specific type of WSN, the size of the data to process and to transmit constitutes an important constraint that could cause network congestion and impact node lifetime. Thus, the goal of this paper is to study and evaluate a typical image compression algorithm as a solution to optimize the energy consumption and communication traffic in a WISN, dedicated to control a chemical industrial process.
Fichier principal
Vignette du fichier
GDR_Nesrine_BOUSSAADA.pdf (532.5 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03469516 , version 1 (07-12-2021)

Identifiants

  • HAL Id : hal-03469516 , version 1

Citer

Nesrine Boussaada, Alvaro Llaria, Guillaume Terrasson, Octavian Curea. Image compression for WSN applied to the process supervision in Industry 4.0. 15ème Colloque National du GDR SOC2, GDR SOC2, Jun 2021, Rennes, France. ⟨hal-03469516⟩
29 Consultations
19 Téléchargements

Partager

Gmail Facebook X LinkedIn More