Development and Integration of IoT for Smart Systems and Sustainable Infrastructure

Authors

Keywords:

IoT, Smart Systems, System Integration, Smart Infrastructure

Abstract

The rapid growth of digital technology has accelerated the adoption of the Internet of Things (IoT) in the development of smart systems across multiple sectors. However, challenges related to system integration, scalability, and efficient data management remain significant barriers to optimal implementation. This study aims to design IoT-based intelligent systems that enable real-time monitoring, automation, and intelligent decision-making for various applications. The research employs a system development approach combining IoT devices, sensor networks, cloud platforms, and data analytics to create an interconnected smart environment. The proposed framework is implemented and evaluated through several application scenarios, including smart environment monitoring and smart infrastructure management. The results indicate that coordinated IoT deployment improves operational efficiency, enhances data accuracy, and supports adaptive system responses through continuous data processing. Furthermore, the developed system contributes to sustainable technological advancement aligned with the Sustainable Development Goals (SDGs) by promoting efficient resource utilization and smarter infrastructure management. In conclusion, the proposed architecture provides a scalable and flexible foundation supporting innovation, sustainability, and digital transformation across diverse application domains.

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Published

2026-05-29

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How to Cite

Development and Integration of IoT for Smart Systems and Sustainable Infrastructure. (2026). Health, Empathy, and AI Learning (HEAL), 1(2), 126-137. https://journal.sundarapublishing.com/index.php/heal/article/view/135