Adaptive IoT‑Enabled Node for Multi‑Parameter Environmental Sensing and Cloud‑Based Analytics
Abstract
Environmental monitoring is increasingly important due to rising pollution levels, climate variability, and sustainability concerns. This paper presents a compact IoT enabled environmental sensing node that integrates a Beetle ESP32‑C6 microcontroller with a DF Robot Fermion multifunctional sensor for continuous measurement of temperature, humidity, barometric pressure, ambient light, and ultraviolet index. The sensed data are periodically transmitted over Wi‑Fi 6 to a cloud analytics platform, where they are stored, visualized, and analyzed for anomaly detection and user notification via web or mobile dashboards. Along with a description of the hardware architecture, communication pipeline, and software implementation, the paper briefly reviews recent smart environmental monitoring solutions that leverage IoT, wireless sensor networks, and data analytics for air quality monitoring, water quality supervision, and precision agriculture. Experimental results from a prototype deployment demonstrate that the proposed design simplifies the realization of distributed, low power monitoring nodes and supports scalable, data driven environmental management in both urban and rural settings.
References
[2] Vemula Naveen and N. Prakash Babu. November 2020 project titled with “IoT Based Environmental Monitoring System for Real Time Using Arduino.”
[3] N. Mullai Rajan, S. V. Suba devi and J. Revanth 5 may 2020 worked with topic “Smart Environmental Monitoring System.”
[4] Silvia Liberata Ullo and G. R. Sinha 31 may 2020 developed “Advances in Smart Environment Monitoring Systems Using IoT and Sensors.”
[5] Abhishek Ranjan, Riteek Adinath Patil and Darshan Uddhav Bhukele September 2023 “Security Consideration for Secure and Trustworthy Smart Home System in the IoT Environment.”
[6] Kiranmai Nandagiri1, Dr Ramana Murthy B V proposed work on “A
Review on Smart Environment Monitoring Systems using Sensors.”
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