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AMANDA – AutonoMous self powered miniAturized iNtelligent sensor for environmental sensing anD asset tracking in smArt IoT environments

At a glance

  • Project leader : Prof. Dr. Marcel Meli
  • Project status : completed
  • Funding partner : EU and other international programmes (Horizon 2020 / Projekt Nr. 825464)
  • Contact person : Marcel Meli

Description

The AMANDA project aims to stretch the limits of Electronic Smart Systems’ (ESS) autonomy (in terms of energy, decision making & maintenance-free lifetime extension) and miniaturization (by applying high aspect ratio design architecture). Its ultimate goal is to develop and validate a cost-attractive next generation Autonomous Smart Sensing Card (ASSC) that will serve multi-sensorial IoT applications for smart living and working environments.

Publications

  • ,

    2020.

    The AMANDA project.

    In:

    Proceedings of the Wireless Congress 2020 : Systems & Applications.

    Wireless Congress 2020 : Systems & Applications, virtual, 10-12 November 2020.

    München:

    WEKA.

  • ; Brütsch, Manuel; Stajic, Stefan; ; Lorenz, David; Hegetschweiler, Lukas; Karanassos, Dimitris; Kouzinopoulos, Charalampos,

    2020.

    Low light energy autonomous LoRaWAN node [paper].

    In:

    Proceedings of the 2020 IEEE 5th International Symposium on Smart and Wireless Systems.

    2020 IEEE 5th International Symposium on Smart and Wireless Systems within the Conferences on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS-SWS), Dortmund (online), 17-18 September 2020.

    IEEE.

    Available from: https://doi.org/10.1109/IDAACS-SWS50031.2020.9297089

  • ; Furter, Claudio; Karakostas, Konstantinos; Kouzinopoulos, Charalampos; Tzovaras, Dimitrios,

    2020.

    Low power LoRaWAN node based on FRAM microcontroller [paper].

    In:

    Proceedings of the 2020 IEEE 5th International Symposium on Smart and Wireless Systems.

    2020 IEEE 5th International Symposium on Smart and Wireless Systems within the Conferences on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS-SWS), Dortmund (online), 17-18 September 2020.

    IEEE.

    Available from: https://doi.org/10.1109/IDAACS-SWS50031.2020.9297075