IoT Weather Station Optimized for Energy Efficiency
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Abstract
This work presents an economical IoT weather station with energy-efficient capabilities. It offers a multi-sensor platform, with balanced functionality and power optimization that ensures an extended- wireless range. The developed system features diverse sensors measuring temperature, humidity, pressure and light intensity. Employing power-saving techniques like sleep/wake cycles and controlled sampling rates makes the station economical and power-efficient. This setup allows distant observation via a web browser interface, addressing the challenge of low power and extended-range deployments of embedded systems. The adopted energy optimization strategy enabled autonomous long-range functioning, with real-time data collection and visualization. The recoded peak power consumption is only 2022 A for all the embedded operations.
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References
Faudzi, A. A. M., Raslan, M. M., Alias, N. E. (2023). IoT based real-time monitoring system of rainfall and water level for flood prediction using LSTM Network. In: IOP Conference Series: Earth and Environmental Science. IOP Publishing, p. 012015.
Jabbar, W.A., Subramaniam, T., Ong, A.E., et al. (2022). LoRaWAN-based IoT system implementation for long-range outdoor air quality monitoring. Internet of Things, 19, p. 100540.
Joris, L., Dupont, F., Laurent, P., et al. (2019). An autonomous Sigfox wireless sensor node for environmental monitoring. IEEE Sensors Letters, 3(7), p. 01-04.
Maudet, S., Andrieux, G., Chevillon, R., et al. (2021). Refined node energy consumption modeling in a LoRaWAN network. Sensors, 21(19), p. 6398.
Migabo, E.M., Djouani, K.D., Kurien, A.M. (2020). The narrowband Internet of Things (NB-IoT) resources management performance state of art, challenges, and opportunities. IEEE Access, 8, p. 97658-97675.
Radhi, A. A., et Al-Naima, F. M. (2022). Design of a Prototype Local Smart Weather Station Based on Wi-Fi. In: 2022 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. IEEE. p. 559-565.
Rennane, A. et al., (2018). Passive UHF RFID Sensor Tag for Pressure and Temperature Conditions Monitoring, 2018 2nd URSI Atlantic Radio Science Meeting (AT-RASC), Gran Canaria, Spain, pp. 1-3, doi: 10.23919/URSI-AT-RASC.2018.8471459.
Rennane, A., Benmahmoud, F., Abdelnour, A., Fonseca, N., Kaddour, D., Touhami, R., & Tedjini, S. (2017). Passive UHF RFID bending and absolute force strain gauge-based sensors. In 2017 Mediterranean Microwave Symposium (MMS) (pp. 1-4). IEEE.
Rennane, A., Benmahmoud, F., Cherif, A. T., Touhami, R., & Tedjini, S. (2021). Design of autonomous multi-sensing passive UHF RFID tag for greenhouse monitoring. Sensors and Actuators A: Physical, 331, 112922.
Santos, S. C., Firmino, R. M., Mattos, D. M., et al. (2020). An IoT rainfall monitoring application based on wireless communication technologies. In: 2020 4th Conference on Cloud and Internet of Things (CIoT). IEEE. p. 53-56.
Wang, Y., Huang, Y., Song, C. (2019). A New Smart Sensing System Using LoRaWAN for Environmental Monitoring, IEEE Internet of Things Journal.
Wang, Z., Deng, Z., Xu, K., et al. (2021). Based on Internet of Things Platform Using NB-IoT Communication Low-Power Weather Station System. In: International Conference On Wireless Communications, Networking And Applications. Singapore: Springer Nature Singapore, p. 633-643.