Work place: Department of Electrical and Electronic Engineering, Daffodil International University, Dhaka, 1216, Bangladesh
E-mail: tanjumrahiakanto.eee@diu.edu.bd
Website: https://orcid.org/0009-0001-6708-6166
Research Interests:
Biography
Tanjum R. Akanto is currently pursuing her M.Sc. in Electrical and Electronic Engineering (EEE) at Khulna University of Engineering and Technology (KUET), from where she also completed her B.Sc. in EEE in March 2020. She is working as a Lecturer in the Department of Electrical and Electronic Engineering (EEE) at Daffodil International University (DIU) since February 2, 2021. Her area of interests is Biomedical Engineering, Image Processing, IoT and Machine Learning.
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.
[...] Read more.Subscribe to receive issue release notifications and newsletters from MECS Press journals