Design and Development of an Energy-Efficient Embedded IoT Framework for RealTime Environmental Monitoring and Smart Data Analytics
Fuente:
Zenodo
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Recurso digital |
| Published: |
Zenodo
2026
|
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866901150436950016 |
|---|---|
| author | Mrs.Priyanka Vaibhav Kulkarni Dr. Ravindra Kumar Sharma Dr Ashwini Ambarish Deshpande |
| author_facet | Mrs.Priyanka Vaibhav Kulkarni Dr. Ravindra Kumar Sharma Dr Ashwini Ambarish Deshpande |
| contents | <p>Environmental monitoring has become increasingly important due to climate change, pollution, and rapid urbanization. Traditional monitoring systems rely on manual data collection and centralized infrastructure, which limits real-time observation and increases operational costs. The emergence of the Internet of Things (IoT) enables the deployment of distributed sensing systems capable of collecting environmental data continuously and efficiently. This research proposes an energy-efficient embedded IoT framework for real-time environmental monitoring and smart data analytics. The proposed system integrates low-power sensor nodes, wireless communication modules, embedded processing units, and cloud-based analytics platforms. Environmental parameters such as temperature, humidity, air quality, and carbon dioxide levels are continuously monitored through distributed IoT sensors. Energy-efficient techniques including adaptive duty cycling, sleep scheduling, and optimized communication protocols are implemented to reduce power consumption. Experimental evaluation demonstrates improved energy efficiency, extended sensor node lifetime, and reliable real-time monitoring performance. The proposed framework supports scalable environmental monitoring applications such as smart cities, precision agriculture, and industrial pollution monitoring. The integration of IoT with smart data analytics enables intelligent decision-making for environmental protection and sustainable development.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18999942 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Design and Development of an Energy-Efficient Embedded IoT Framework for RealTime Environmental Monitoring and Smart Data Analytics Mrs.Priyanka Vaibhav Kulkarni Dr. Ravindra Kumar Sharma Dr Ashwini Ambarish Deshpande <p>Environmental monitoring has become increasingly important due to climate change, pollution, and rapid urbanization. Traditional monitoring systems rely on manual data collection and centralized infrastructure, which limits real-time observation and increases operational costs. The emergence of the Internet of Things (IoT) enables the deployment of distributed sensing systems capable of collecting environmental data continuously and efficiently. This research proposes an energy-efficient embedded IoT framework for real-time environmental monitoring and smart data analytics. The proposed system integrates low-power sensor nodes, wireless communication modules, embedded processing units, and cloud-based analytics platforms. Environmental parameters such as temperature, humidity, air quality, and carbon dioxide levels are continuously monitored through distributed IoT sensors. Energy-efficient techniques including adaptive duty cycling, sleep scheduling, and optimized communication protocols are implemented to reduce power consumption. Experimental evaluation demonstrates improved energy efficiency, extended sensor node lifetime, and reliable real-time monitoring performance. The proposed framework supports scalable environmental monitoring applications such as smart cities, precision agriculture, and industrial pollution monitoring. The integration of IoT with smart data analytics enables intelligent decision-making for environmental protection and sustainable development.</p> |
| title | Design and Development of an Energy-Efficient Embedded IoT Framework for RealTime Environmental Monitoring and Smart Data Analytics |
| url | https://doi.org/10.5281/zenodo.18999942 |