IoT Weather Station Optimized for Energy Efficiency

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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Publication Details

Journal
Journal of Renewable Energies
Published
2024-09-18
DOI
https://doi.org/10.54966/jreen.v1i1.1264
Citations
1
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
0.21
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article

IoT Weather Station Optimized for Energy Efficiency

Fateh Benmahmoud, Abdelhak Djoudi, Ali Dali, Ahmed Rennane et al.
1 citations
Journal of Renewable Energies
IoT-based Smart Home Systems
0.21
article

IoT Weather Station Optimized for Energy Efficiency

Fateh Benmahmoud, Abdelhak Djoudi, Ali Dali, Ahmed Rennane, Abderrahmene Tayeb Cherif
article en
1 citations

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.

Journal of Renewable Energies
Polytechnic School of Algiers (DZ), Renewable Energy Development Center (DZ), École Nationale Supérieure d'Informatique (DZ)
Openalex Percentile: Top 48%
IoT-based Smart Home Systems
0.21
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IoT Weather Station Optimized for Energy Efficiency — Fateh Benmahmoud, Abdelhak Djoudi, et al. · Journal of Renewable Energies (2024) | TGRS Research Map | TGRS