Author(s): Daniel K Mwangi, Grace A Otieno and Samuel N Kilonzo

Abstract: This research presents the development of a microcontroller-based temperature monitoring system integrated with Internet of Things technologies for real-time data acquisition, transmission, and visualization. Temperature monitoring is critical in applications such as industrial automation, cold-chain logistics, healthcare environments, and smart buildings, where deviations can lead to safety risks and economic losses. The proposed system employs a low-power microcontroller interfaced with a digital temperature sensor to ensure accurate and stable measurements over extended operation. Wireless connectivity is achieved using an IoT communication module, enabling continuous data transfer to a cloud-based platform for storage and analysis. The system architecture emphasizes modular design, scalability, and energy efficiency to support deployment in distributed sensing environments. Embedded firmware is developed to manage sensor sampling, data packetization, and network communication while minimizing latency and power consumption. A web-based dashboard provides real-time visualization, historical trend analysis, and alert generation when temperature thresholds are exceeded. Experimental evaluation demonstrates reliable operation across a wide temperature range, with low measurement error and consistent data transmission under varying network conditions. The results indicate that the system can maintain stable performance during prolonged operation, making it suitable for remote monitoring applications. Compared to conventional wired monitoring solutions, the proposed IoT-enabled design reduces installation complexity and improves accessibility of temperature data. The research highlights the practicality of integrating microcontrollers with IoT platforms for smart sensing applications and provides a foundation for future enhancements, including multi-sensor integration, predictive analytics, and autonomous control mechanisms. Overall, the developed system offers a cost-effective, flexible, and robust solution for modern temperature monitoring requirements. The implementation demonstrates interoperability with standard IoT services, supports secure data handling, and encourages adoption in educational, research, and small-scale industrial contexts where affordability, reliability, and ease of maintenance are essential operational considerations for sustainable long-term monitoring deployments across diverse application domains worldwide today globally.

DOI: 10.33545/27075923.2026.v7.i1a.125

Pages: 42-46 | Views: 108 | Downloads: 52

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