Navigating Industry 4.0 Frontiers: A Scalable and Resilient Next-Generation IoT Framework to Implement Future Advancements in Smart and Adaptive Industrial Systems

Main Article Content

Bireshwar Ganguly, Devashri Kodgire, Samir N. Ajani, Praveen H. Sen, Nilesh Shelke, Anil W.Kale


The emergence of Industry 4.0 signifies a paradigm shift in industrial systems, characterized by the amalgamation of digital technologies with tangible operations. The goal of this study is to present a state-of-the-art, scalable, and robust Internet of Things (IoT) framework that will enable future innovations in intelligent and adaptable industrial systems to be seamlessly integrated. Our framework gives scalability first priority in response to Industry 4.0's dynamic nature, which is marked by fast technical evolution and rising connection in order to handle the expanding ecosystem of networked devices. The suggested structure places a strong emphasis on resilience and is designed to resist setbacks and guarantee the continuation of vital industrial processes. Our framework improves industrial systems' intelligence by utilizing edge computing, machine learning techniques, and improved communication protocols. This allows the systems to self-adapt to changing situations. Moreover, it adopts a modular architecture that facilitates interoperability and makes it simple to integrate various devices and technologies. Our IoT framework creates a solid, flexible, and future-proof industrial environment with this all-encompassing strategy, enabling businesses to confidently and effectively traverse Industry 4.0's frontiers.

Article Details

Author Biography

Bireshwar Ganguly, Devashri Kodgire, Samir N. Ajani, Praveen H. Sen, Nilesh Shelke, Anil W.Kale

[1]Bireshwar Ganguly

2Devashri Kodgire

3Samir N. Ajani

4Praveen H. Sen

5Nilesh Shelke

6Anil W.Kale


[1] Department of Computer Science and Engineering, Rajiv Gandhi College of Engineering, Research and Technology, Chandrapur, Maharashtra,

2Department of Computer Science and Engineering, Rajiv Gandhi College of Engineering, Research and Technology, Chandrapur, Maharashtra, India.

3Department of Computer Science and Engineering (Data Science), Shri Ramdeobaba College of Engineering and Management, Nagpur, Maharashtra, India,

4Computer Science and Business Systems, St. Vincent Pallotti College of Engineering and Technology, Nagpur, Maharashtra, India,

5Symbiosis Institute of Technology, Nagpur Campus, Symbiosis International (Deemed University), Pune, Maharashtra, India.

6Department of Computer Engineering, MGM's college of Engineering and Technology,Kamothe,Navi Mumbai, India. 



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