DOI: https://doi.org/10.36719/2663-4619/116/71-74
Sayyad Ibrahimov
Azerbaijan Technical University
https://orcid.org/0009-0005-9224-6853
ibrahimovsayyad01@gmail.com
Internet of Things-Based Intelligent Control Systems: Architecture, Security
and Optimization
Abstract
The Internet of Things (IoT) technology serves as the backbone of modern intelligent control systems, playing a pivotal role in enhancing process optimization, automation, and real-time decision-making across diverse sectors. This study presents a comprehensive analysis of the multilayered architecture of IoT-based management systems, focusing on data flow organization, energy efficiency, security protocols, and optimization strategies. Technical and functional challenges observed in various application scenarios – including industrial automation, agriculture, transportation, and smart city infrastructure – are evaluated through real-world examples and technical comparisons. The study aims to identify theoretical frameworks and practical recommendations to improve the overall effectiveness of intelligent control systems. The findings indicate that techniques such as edge computing, adaptive energy management, encryption protocols, and interoperable data standards significantly enhance the performance and reliability of IoT systems. Future work should focus on the integration of artificial intelligence, quantum computing applications, and secure-by-design architectures to ensure sustainable deployment at scale.
Keywords: Internet of Things, intelligent control, architecture, security, optimization, energy efficiency, edge computing