Cloud-Enabled IoT System for Real-Time Environmental Monitoring and Remote Device Control Using Firebase
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arXiv
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| Format: | Preprint |
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2026
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| _version_ | 1866908785784651776 |
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| author | Hasib, Abdul Akib, A. S. M. Ahsanul Sarkar |
| author_facet | Hasib, Abdul Akib, A. S. M. Ahsanul Sarkar |
| contents | The proliferation of Internet of Things (IoT) devices has created unprecedented opportunities for remote monitoring and control applications across various domains. Traditional monitoring systems often suffer from limitations in real-time data accessibility, remote controllability, and cloud integration. This paper presents a cloud-enabled IoT system that leverages Google's Firebase Realtime Database for synchronized environmental monitoring and device control. The system utilizes an ESP32 microcontroller to interface with a DHT22 temperature/humidity sensor and an HC-SR04 ultrasonic distance sensor, while enabling remote control of two LED indicators through a cloud-based interface. Real-time sensor data is transmitted to Firebase, providing a synchronized platform accessible from multiple devices simultaneously. Experimental results demonstrate reliable data transmission with 99.2\% success rate, real-time control latency under 1.5 seconds, and persistent data storage for historical analysis. The system architecture offers a scalable framework for various IoT applications, from smart home automation to industrial monitoring, with a total implementation cost of \$32.50. The integration of Firebase provides robust cloud capabilities without requiring complex server infrastructure, making advanced IoT applications accessible to developers and researchers with limited resources. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2601_17414 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Cloud-Enabled IoT System for Real-Time Environmental Monitoring and Remote Device Control Using Firebase Hasib, Abdul Akib, A. S. M. Ahsanul Sarkar Computer Vision and Pattern Recognition The proliferation of Internet of Things (IoT) devices has created unprecedented opportunities for remote monitoring and control applications across various domains. Traditional monitoring systems often suffer from limitations in real-time data accessibility, remote controllability, and cloud integration. This paper presents a cloud-enabled IoT system that leverages Google's Firebase Realtime Database for synchronized environmental monitoring and device control. The system utilizes an ESP32 microcontroller to interface with a DHT22 temperature/humidity sensor and an HC-SR04 ultrasonic distance sensor, while enabling remote control of two LED indicators through a cloud-based interface. Real-time sensor data is transmitted to Firebase, providing a synchronized platform accessible from multiple devices simultaneously. Experimental results demonstrate reliable data transmission with 99.2\% success rate, real-time control latency under 1.5 seconds, and persistent data storage for historical analysis. The system architecture offers a scalable framework for various IoT applications, from smart home automation to industrial monitoring, with a total implementation cost of \$32.50. The integration of Firebase provides robust cloud capabilities without requiring complex server infrastructure, making advanced IoT applications accessible to developers and researchers with limited resources. |
| title | Cloud-Enabled IoT System for Real-Time Environmental Monitoring and Remote Device Control Using Firebase |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2601.17414 |