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WSN Energy Control by Holonic Dynamic Reconfiguration: Application to the Sustainability of Communicating Materials

Author

Listed:
  • William Derigent

    (Université de Lorraine, CRAN CNRS UMR 7039, Campus Sciences, Boulevard des Aiguillettes, 54506 Vandœuvre-lès-Nancy, France)

  • Michaël David

    (Université de Lorraine, CRAN CNRS UMR 7039, Campus Sciences, Boulevard des Aiguillettes, 54506 Vandœuvre-lès-Nancy, France)

  • Pascal André

    (Nantes Université, CNRS, LS2N, UMR 6004, F-44000 Nantes, France)

  • Olivier Cardin

    (Nantes Université, CNRS, LS2N, UMR 6004, F-44000 Nantes, France)

  • Salma Najjar

    (Université de Lorraine, CRAN CNRS UMR 7039, Campus Sciences, Boulevard des Aiguillettes, 54506 Vandœuvre-lès-Nancy, France)

Abstract

Various works propose solutions addressing the sustainability of IoT technologies to reduce their energy consumption, especially in the domain of wireless sensor networks. The diversity of applications, as well as the variability of their long-term constraints, forces them to dynamically adapt the network through time. Accordingly, this study formalizes the SADHoA-WSN framework to tackle the reconfiguration process. This proposal is a dynamic Holonic Control Architecture, linking the physical network evolution to the decisions made by a virtual multi-agent control system. The potential of such an approach is demonstrated by applying this framework to the energy optimization of communicating materials, i.e., materials equipped with inner wireless sensor nodes. The first implemented components of SADHoA-WSN and their related experimental results validate it as a promising energy-efficient dynamic methodology. This work lays the groundwork for optimized energy control in IoT networks.

Suggested Citation

  • William Derigent & Michaël David & Pascal André & Olivier Cardin & Salma Najjar, 2024. "WSN Energy Control by Holonic Dynamic Reconfiguration: Application to the Sustainability of Communicating Materials," Sustainability, MDPI, vol. 16(18), pages 1-17, September.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:18:p:8193-:d:1481660
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    References listed on IDEAS

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    1. Gustavo A. Nunez Segura & Cintia Borges Margi, 2021. "Centralized Energy Prediction in Wireless Sensor Networks Leveraged by Software-Defined Networking," Energies, MDPI, vol. 14(17), pages 1-18, August.
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