GSM Wireless Sensor Node Prototype for Infield Environmental Parameters Acquisition

Săcăleanu, Dragoş-Ioan; Manciu, Irina-Petra; Roşu, Ştefan-George; Perişoară, Lucian-Andrei; Tannouche, Adil; Cretu, Loredana-Elisabeta Stelian

doi:10.1109/ecai58194.2023.10194080

2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) 2023

DOI: 10.1109/ecai58194.2023.10194080

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GSM Wireless Sensor Node Prototype for Infield Environmental Parameters Acquisition

Dragoş-Ioan Săcăleanu,

Irina-Petra Manciu,

Ştefan-George Roşu

et al.

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2024

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IoT-Enhanced Decision Support System for Real-Time Greenhouse Microclimate Monitoring and Control

Săcăleanu,

Matache,

Roșu

et al. 2024

Technologies

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Greenhouses have taken on a fundamental role in agriculture. The Internet of Things (IoT) is a key concept used in greenhouse-based precision agriculture (PA) to enhance vegetable quality and quantity while improving resource efficiency. Integrating wireless sensor networks (WSNs) into greenhouses to monitor environmental parameters represents a critical first step in developing a complete IoT solution. For further optimization of the results, including actuator nodes to control the microclimate is necessary. The greenhouse must also be remotely monitored and controlled via an internet-based platform. This paper proposes an IoT-based architecture as a decision support system for farmers. A web platform has been developed to acquire data from custom-developed wireless sensor nodes and send commands to custom-developed wireless actuator nodes in a greenhouse environment. The wireless sensor and actuator nodes (WSANs) utilize LoRaWAN, one of the most prominent Low-Power Wide-Area Network (LPWAN) technologies, known for its long data transmission range. A real-time end-to-end deployment of a remotely managed WSAN was conducted. The power consumption of the wireless sensor nodes and the recharge efficiency of installed solar panels were analyzed under worst-case scenarios with continuously active nodes and minimal intervals between data transmissions. Datasets were acquired from multiple sensor nodes over a month, demonstrating the system’s functionality and feasibility.

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IoT-Enhanced Decision Support System for Real-Time Greenhouse Microclimate Monitoring and Control

Săcăleanu,

Matache,

Roșu

et al. 2024

Technologies

View full text Add to dashboard Cite

show abstract

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GSM Wireless Sensor Node Prototype for Infield Environmental Parameters Acquisition

Cited by 1 publication

References 18 publications

IoT-Enhanced Decision Support System for Real-Time Greenhouse Microclimate Monitoring and Control

IoT-Enhanced Decision Support System for Real-Time Greenhouse Microclimate Monitoring and Control

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