Dr. Sachin Chaudhari and his students presented the following papers at the 13th International Conference on Future Internet of Things and Cloud (FiCloud 2025) held in hybrid mode at Istanbul, Türkiye from 11 to 13 August:
- IoT-based Water Flow Estimation using Multi-Modal Data – Sannidhya Gupta, Maulesh Gandhi, Sachin Chaudhari. Here the summary of the paper as explained by the authors:
This paper presents a low-cost IoT-based solution for estimating water flow in pipelines by leveraging correlated parameters, motor current consumption and pipeline pressure, instead of relying on expensive digital flow meters. Machine learning models are trained on these parameters to estimate water flow indirectly with high accuracy. Key contributions include the development of a non-invasive IoT current monitoring device, large-scale validation with over 1.3 million data points across three sites over six months, and robustness testing under simulated data losses up to 70%. The system demonstrates a scalable, reliable, and cost-effective alternative for smart water management.
Presentation link: Sannidhya
Paper Link: IoT-based Water Flow Estimation using Multi-Modal Data.pdf
- IoT-based Monitoring of Construction-Related PM and Noise Pollution using Low-Cost Sensors – Asritha Arroju, Shreyash Gujar, Sachin Chaudhari, and Kavita Vemuri. Here the summary of the paper as explained by the authors:
This paper showcases the use of low-cost IoT sensor nodes to monitor construction-related particulate matter (PM2.5, PM10) and noise pollution. By capturing 324,000 data points over four months, the study reveals clear pollution hotspots near an active construction site, with elevated PM and noise levels often exceeding residential standards. The results highlight the importance of real-time monitoring for identifying localized environmental impacts and help guide urban planners toward smarter mitigation strategies.
Presentation link: Asritha
Paper Link: IoT-based Monitoring of Construction-Related PM and Noise Pollution using Low-Cost Sensors.pdf
- Understanding Water Consumption in Intermittent Water Supply Systems using IoT-based monitoring – Archit Goyal, Ritik Yelekar, Sachin Chaudhari, K S Rajan. Here the summary of the paper as explained by the authors:
This paper presents two IoT-based strategies to capture water consumption in Intermittent Water Supply (IWS) systems using water flow and level measurements. A campus-scale deployment collected ~125,000 data points across five buildings at 3-minute intervals, enabling the construction of instantaneous, daily, and weekly demand patterns. The results provide insights into consumption variability and support smarter planning for water use in IWS settings.
Presentation Link: Archit_FiCloud_Presentation.pdf
Paper Link: Understanding Water Consumption in Intermittent Water Supply Systems using IoT based monitoring.pdf
Homepage: https://ficloud.org/2025/
August 2025