Industry 5.0 – Key Technologies and Drivers

Overview

The proposed edited book aims to fully examine how recent improvements to Industry 5.0 and related technologies, like Blockchain, Industrial Internet of Things (IIoT), Artificial Intelligence (AI), 5G or higher, cloud computing, fog computing, and mobile edge computing, can be used together for the industrial revolution. The book will not only analyze the architecture, trends, and technical advancements of IIoT technology but also delve into the utilization of advanced communication, computation and decision-making strategies for a wide range of Industry 5.0 applications such as smart healthcare, transportation systems etc.

Given the increasing demand for computing, storage, and network resources in industries, the utilization of AI tools has become increasingly prevalent as they can be utilized to solve a wide range of issues, such as minimizing energy consumption rate, optimizing service cost, improving the quality of services, increasing service availability, efficiently handling massive data flow and managing large numbers of IIoT devices. Therefore, this book will provide an in-depth perspective and practical guide on integrating Industry 5.0 with AI-based decision-making capabilities. The book will also explore fog and mobile edge computing to enable near-edge computation functionalities for latency-sensitive Industry 5.0 applications. Another main goal is to give an overview of the current research and development in the field of AI-driven intelligent environments and its potential for improving the QoS requirements of IIoT devices with limited resources, such as energy efficiency, cost-effectiveness, and performance of IoT-based services.

Objective

This edited book aims to comprehensively examine the current research trend, state-of-the-art Industrial IoT applications, deployment issues, potential challenges, and future research scopes related to Industry 5.0 and Industry 5.0-enabled technologies such as Blockchain, edge computing, 5G, and cloud computing. The book aims to provide a thorough understanding of the application specifications and related issues of IoT in the fields of healthcare 5.0, predictive maintenance, sustainable cities, and transportation systems.

Readers of the book will gain valuable insights into applying the concepts to real-world applications and will be introduced to the latest tools, software, and simulations available for experimenting with Industry 5.0 and ideas about diverse IIoT data analysis. The book will also provide valuable insights into the use of AI tools and algorithms for designing intelligent systems to tackle Industry 5.0 issues. It is of great value to readers interested in understanding the integration of Blockchain, edge computing, 5G, and its sister technologies with IIoT and the research scope to solve Industry 5.0 issues.

Publisher

Springer Nature Switzerland AG

Chapters of Interest

The editor is interested in quality, comprehensive review chapters on the following topics (all in the context of Industry 5.0) : 

Chapter 1: Introduction to Industry 5.0 

Chapter 2: Edge, Fog and Cloud for Industry 5.0 

Chapter 3: Communication Technologies for Industry 5.0 

Chapter 4: The Transition from Industry 4.0 to Industry 5.0

Chapter 5: Architectures for Industry 5.0 

Chapter 6: Near-Edge Computing for Industry 5.0 

Chapter 7: Industry 5.0 Sensors and Actuators 

Chapter 8: Data Analytics for Industry 5.0 

Chapter 9: Cloud Computing for Industry 5.0 

Chapter 10: Computation Offloading for Industry 5.0 

Chapter 11: Industry 5.0 Resource Management 

Chapter 12: Industry 5.0 Data Management 

Chapter 13: Industry 5.0 Security

Chapter 14: Industry 5.0 Network Management 

Chapter 15: Industry 5.0-based Supply Chain Management

Chapter 16: Industry 5.0-based Smart Healthcare 

Chapter 17: Industry 5.0-based Predictive Maintenance

Chapter 18: Industry 5.0-based Collaborative Robot

Chapter 19: Open Challenges and Future Research for IoT

Chapter 20: Summary 

Book Editors:

Editor 1: Dr. Indranil Sarkar

Affiliation: Postdoc Fellow, University of Oslo

Email: nil.indra1992@gmail.com 

Editor 2: Dr. Abhishek Hazra

Affiliation: Assistant Professor, Indian Institute of Information Technology Sricity

Email: abhishek.hazra1@gmail.com 

Editor 3: Dr. Poonam Maurya

Affiliation: Research Fellow, Aalborg University

Email: poonamm@es.aau.dk, dspoonammaurya@gmail.com