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In IOT platform (Guth et al. Cloudification of the Internet of Things, Paris, pp. 1–6 2016–Beloualid et al. in Computational Intelligence Applications for IoT in Healthcare 211–224, 2023), most IOT node (Beloualid et al. in Computational Intelligence Applications for IoT in Healthcare 211–224, 2023) include sensors to separately collect data and send them to the CLOUD for storage and specific processing. Among other things, if there are 5 sensors, the platform is supposed to send their values ​​one after the other, which results in significant consumption in terms of execution time, energy consumption, and communication conflict. This increases exponentially when the security and encryption of this data are necessary and arise to protect the integrity of the data. To reduce such consumption and avoid communication conflicts and all kinds of congestion at the IOT platform level and especially to compensate for the size of the IOT PAYLOAD (Beloualid et al. in Computational Intelligence Applications for IoT in Healthcare 211–224, 2023) which results from its encryption, then we have designed a real-time IOT node, compact, optimal, and synchronous with the CLOUD. To do this, our idea is to store all the data from the different sensors, compact them into a single QrCode image file, visually compress this file, and ensure integrity protection using a light encryption before sending it on demand and synchronously to the CLOUD. Using the optimization tools listed above, our optimal node is able to operate in real time, collect all the data from the different sensors synchronously, reduce the size of the PAYLOAD (Beloualid et al. in Computational Intelligence Applications for IoT in Healthcare 211–224, 2023) while maintaining its quality, secure its integrity in a reduced and efficient way, and go into IDLE and dormant mode when it is not requested by the CLOUD in order to improve the sustainability of its energy. This same optimization will be applied to the smart, green and sustainable agriculture node including among others 6 sensors providing an objective PAYLOAD of QrCode image type, namely: temperature T, humidity H, air quality C02, soil humidity PH, light intensity LI, measurement of the energy consumption EC consumed by the node, then subjective data from the on-board camera which provides a subjective PAYLOAD of API image type.

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An Innovative Hardware and Software Design of Green, Intelligent, Secured and Sustainable Farming IOT Node

  • 会议论文

  • 发表日期：

    2026年

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  • Hicham Essamri,
  • Abderrahim Bajit,
  • Khalid Bouali,
  • Hamza Benzzine,
  • Yasmine Achour,
  • Mohamed Nabil Srifi,
  • Rachid El Bouayadi

摘要

In IOT platform (Guth et al. Cloudification of the Internet of Things, Paris, pp. 1–6 2016–Beloualid et al. in Computational Intelligence Applications for IoT in Healthcare 211–224, 2023), most IOT node (Beloualid et al. in Computational Intelligence Applications for IoT in Healthcare 211–224, 2023) include sensors to separately collect data and send them to the CLOUD for storage and specific processing. Among other things, if there are 5 sensors, the platform is supposed to send their values ​​one after the other, which results in significant consumption in terms of execution time, energy consumption, and communication conflict. This increases exponentially when the security and encryption of this data are necessary and arise to protect the integrity of the data. To reduce such consumption and avoid communication conflicts and all kinds of congestion at the IOT platform level and especially to compensate for the size of the IOT PAYLOAD (Beloualid et al. in Computational Intelligence Applications for IoT in Healthcare 211–224, 2023) which results from its encryption, then we have designed a real-time IOT node, compact, optimal, and synchronous with the CLOUD. To do this, our idea is to store all the data from the different sensors, compact them into a single QrCode image file, visually compress this file, and ensure integrity protection using a light encryption before sending it on demand and synchronously to the CLOUD. Using the optimization tools listed above, our optimal node is able to operate in real time, collect all the data from the different sensors synchronously, reduce the size of the PAYLOAD (Beloualid et al. in Computational Intelligence Applications for IoT in Healthcare 211–224, 2023) while maintaining its quality, secure its integrity in a reduced and efficient way, and go into IDLE and dormant mode when it is not requested by the CLOUD in order to improve the sustainability of its energy. This same optimization will be applied to the smart, green and sustainable agriculture node including among others 6 sensors providing an objective PAYLOAD of QrCode image type, namely: temperature T, humidity H, air quality C02, soil humidity PH, light intensity LI, measurement of the energy consumption EC consumed by the node, then subjective data from the on-board camera which provides a subjective PAYLOAD of API image type.