Work place: Department of IoT and Robotics Engineering, University of Frontier Technology, Bangladesh, Gazipur, 1750, Bangladesh
E-mail: 2001007@iot.uftb.ac.bd
Website: https://orcid.org/0009-0002-7185-1737
Research Interests:
Biography
Rakibul H. Rakib is currently pursuing his B.Sc. Engg. degree in Internet of Things and Robotics Engineering (IRE) from the University of Frontier Technology, Bangladesh. He has strong expertise in software development and modern web technologies. He is proficient in multiple programming languages and frameworks, including C, Python, Java, JavaScript, React, React Native, FastAPI and MicroPython. His primary research interest lies in web-based intelligent systems and AI-assisted application development. He is also interested in Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL), with a special focus on integrating AI models into dynamic and responsive web environments.
By Rafiul R. Zahid Rakibul H. Rakib Iftekhar Rahman Md. A. Amin Tanjum R. Akanto Fahmida A. Antara Sadia Enam
DOI: https://doi.org/10.5815/ijieeb.2026.02.11, Pub. Date: 8 Apr. 2026
The beginning of the fourth industrial revolution or Industry 4.0 has changed the concept of automation in industries by adopting the Internet of Things (IoT) in manufacturing, logistics, and production processes. The IoT is the digital foundation of Industry 4.0 that allows real-time monitoring, predictive maintenance, data-based decision making, and autonomous processes with in-between devices and smart sensors. This review explores the uses of the IoT in industrial automation through analyzing the enabling technologies, communication protocols, integration with cloud computing, wireless sensor networks, edge computing, artificial intelligence (AI) and machine learning (ML), as well as presenting important applications, current challenges, and future trends in smart industrial systems. Instead of considering the technologies separately, this paper takes the system-level viewpoint by integrating the way IoT architecture, communication protocol, intelligent analytics, and security controls collectively facilitate Industry 4.0 automation.
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