IoT Weather Station Optimized for Energy Efficiency
| Autor: | Ahmed Rennane, Fateh Benmahmoud, Abdelhak Djoudi, Ali Dali, Abderrahmene Tayeb Cherif |
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| Jazyk: | English<br />French |
| Rok vydání: | 2024 |
| Předmět: | |
| Zdroj: | Revue des Énergies Renouvelables, Pp 229 – 234-229 – 234 (2024) |
| Druh dokumentu: | article |
| ISSN: | 1112-2242 2716-8247 |
| DOI: | 10.54966/jreen.v1i1.1264 |
| Popis: | 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. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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