This book covers challenges and solutions in establishing Industry 4.0 standards for Internet of Things. It proposes a clear view about the role of Internet of Things in establishing standards. The sensor design for industrial problem, challenges faced, and solutions are all addressed. The concept of digital twin and complexity in data analytics for predictive maintenance and fault prediction is also covered. The book is aimed at existing problems faced by the industry at present, with the goal of cost-efficiency and unmanned automation. It also concentrates on predictive maintenance and predictive failures. In addition, it includes design challenges and a survey of literature.

Industrial IoT (IIoT) and Industry 4.0 are newly developing and fast emerging domains of interest among students, researchers, and professionals in academia and industry. Due to the popular demand of this topic, Introduction to Industrial Internet of Things and Industry 4.0 is written to serve a diverse readership from the domains of computer science and engineering, mechanical engineering, information technology, industrial engineering, electronics engineering, and other related branches of engineering. Based on the lead author’s massive open online courses (MOOCs), this book can be used as a textbook on the emerging paradigm of Industry 4.0 and IIoT, as well as a reference for professionals working in sectors of IIoT. The book covers the significant aspects of IIoT in detail, including sensors, actuators, data transmission, and data acquisition, which form the core of IIoT. Topics and concepts are presented in a comprehensive manner, so that readers can develop expertise and knowledge. The book helps beginners to gain a basic idea of Industry 4.0 and IIoT as the first section is an overview of IoT applications, infrastructure-based protocols, cloud computing, and fog computing. The second section is designed to impart a basic knowledge of Industry 4.0 and IIoT as well as of the different phases of development in industry. Delving into more advanced areas, other sections in the book cover: The business models and reference architecture of IIoT The technological aspects of Industry 4.0 and IIoT Predictive and prescriptive analytics applied in IIoT-based implementations Applications and case studies of IIoT Key enabling technologies of IIoT To aid students and professional master IIoT and Industry 4.0, the book includes conceptual questions, exercises, and learning objectives.

The Industry 4.0 revolution is changing the world around us. Artificial intelligence and machine learning, automation and robotics, big data, Internet of Things, augmented reality, virtual reality, and creativity are the tools of Industry 4.0. Improved collaboration is seen between smart systems and humans, which merges humans' critical and cognitive thinking abilities with highly accurate and fast industrial automation. Securing IoT in Industry 4.0 Applications with Blockchain examines the role of IoT in Industry 4.0 and how it can be made secure through various technologies including blockchain. The book begins with an in-depth look at IoT and discusses applications, architecture, technologies, tools, and programming languages. It then examines blockchain and cybersecurity, as well as how blockchain achieves cybersecurity. It also looks at cybercrimes and their preventive measures and issues related to IoT security and trust. Features An overview of how IoT is used to improve the performance of Industry 4.0 systems The evolution of the Industrial Internet of Things (IIoT), its proliferation and market share, and some examples across major industries An exploration of how smart farming is helping farmers prevent plant disease The concepts behind the Internet of Nano Things (IoNT), including the nanomachine and nanonetwork architecture and nano-communication paradigms A look at how blockchains can enhance cybersecurity in a variety of applications, including smart contracts, transferring financial instruments, and Public Key Infrastructure An overview of the structure and working of a blockchain, including the types, evolution, benefits, and applications of blockchain to industries A framework of technologies designed to shield networks, computers, and data from malware, vulnerabilities, and unauthorized activities An explanation of the automation system employed in industries along with its classification, functionality, flexibility, limitations, and applications

This book has a focus on the development and deployment of the Industrial Internet of Things (IIoT) paradigm, discussing frameworks, methodologies, benefits and limitations, as well as providing case studies of employing the IoT vision in the industrial domain. IIoT is becoming an attractive business reality for many organisations such as manufacturing, logistics, oil and gas, energy and other utilities, mining, aviation, and many more. The opportunities for this paradigm are huge, and according to one report, the IIoT market is predicted to reach $125 billion by 2021. The driving philosophy behind the IIoT is that smart machines are better than humans at accurately capturing, analysing and communicating real-time data. The underlying technologies include distributed computing, machine learning, artificial intelligence, and machine-to-machine communication, with a typical IIoT system consisting of intelligent systems (applications, controllers, sensors, and security mechanisms), data communication infrastructure (cloud computing, edge computing, etc.), data analytics (to support business intelligence and corporate decision making), and most importantly the human element. The promised benefits of the IIoT include enhanced safety, better reliability, smart metering, inventory management, equipment tracking, and facilities management. There are, however, numerous issues that are also becoming the focus of active research, such as concerns regarding service availability, data security, and device communication. Lack of ubiquitous interoperability between heterogeneous devices is also a major concern. This book intends to fill a gap in the IIoT literature by providing the scientific contributions and latest developments from researchers and practitioners of international repute, focusing on frameworks, methodologies, benefits, and inherent issues/barriers to connected environments, especially in industrial settings. The intended audience includes network specialists, hardware engineers, and security experts who wish to adopt newer approaches for device connectivity, IoT security, and sensor-based devices design. University level students, researchers and practitioners will also find the latest innovation in technology and newer approaches relevant to the IIoT from a distributed computing perspective.

Industry 4.0 refers to fourth generation of industrial activity characterized by smart systems and internet-based solutions. This book describes the fourth revolution based on instrumented, interconnected and intelligent assets. The different book chapters provide a perspective on technologies and methodologies developed and deployed leading to this concept. With an aim to increase performance, productivity and flexibility, major application area of maintenance through smart system has been discussed in detail. Applicability of 4.0 in transportation, energy and infrastructure is explored, with effects on technology, organisation and operations from a systems perspective.

Modern factories are experiencing rapid digital transformation supported by emerging technologies, such as the Industrial Internet of things (IIOT), industrial big data and cloud technologies, deep learning and deep analytics, AI, intelligent robotics, cyber-physical systems and digital twins, complemented by visual computing (including new forms of artificial vision with machine learning, novel HMI, simulation, and visualization). This is evident in the global trend of Industry 4.0. The impact of these technologies is clear in the context of high-performance manufacturing. Important improvements can be achieved in productivity, systems reliability, quality verification, etc. Manufacturing processes, based on advanced mechanical principles, are enhanced by big data analytics on industrial sensor data. In current machine tools and systems, complex sensors gather useful data, which is captured, stored, and processed with edge, fog, or cloud computing. These processes improve with digital monitoring, visual data analytics, AI, and computer vision to achieve a more productive and reliable smart factory. New value chains are also emerging from these technological changes. This book addresses these topics, including contributions deployed in production, as well as general aspects of Industry 4.0.

The transformative digital technologies developed for Industry 4.0 are proving to be disruptive change drivers in higher education. Industry 4.0 technologies are forming the basis of Education 4.0. Industry 4.0 Technologies for Education: Transformative Technologies and Applications examines state-of-the-art tools and technologies that comprise Education 4.0. Higher education professionals can turn to this book to guide curriculum development aimed at helping produce the workforce for Industry 4.0. The book discusses the tools and technologies required to make Education 4.0 a reality. It covers online content creation, learning management systems, and tools for teaching, learning, and evaluating. Also covered are disciplines that are being transformed by Industry 4.0 and form the core of Education 4.0 curricula. These disciplines include social work, finance, medicine, and healthcare. Mobile technologies are critical components of Industry 4.0 as well as Education 4.0. The book looks at the roles of the Internet of Things (IoT), 5G, and cloud applications in creating the Education 4.0 environment. Highlights of the book include: Technological innovations for virtual classrooms to empower students Emerging technological advancements for educational institutions Online content creation tools Moodle as a teaching, learning, and evaluation tool Gamification in higher education A design thinking approach to developing curriculum in Education 4.0 Industry 4.0 for Service 4.0 and Research 4.0 as a framework for higher education institutions Eye-tracking technology for Education 4.0 The challenges and issues of the Internet of Things (IoT) in teaching and learning

Powering Industrial Growth with IoT Innovations. KEY FEATURES ● Unlock the potential of IoT across industries while honing your skills to design and build IoT devices. ● Dive into architectural frameworks, enriched with real-world examples, to navigate IoT complexities and implement effective solutions for tangible results. ● Gain insights into emerging trends shaping the future of IoT and Industry 4.0. DESCRIPTION Embark on a journey through the transformative landscape of IoT with this comprehensive guide, “Mastering IoT For Industrial Environments”. From its inception in the Industrial Revolution to its pivotal role in Industry 4.0, each chapter provides a deep dive into essential concepts. It will explore IoT architecture, microcontrollers, communication protocols, and interfacing protocols. Delve into MQTT, the protocol for IoT, and machine-to-machine communication. Discover the transition to ESP-IDF and the future of IoT in Industry 4.0. This book provides readers with practical insights into implementing IoT solutions within industrial contexts. Through a meticulously curated array of case studies and real-world applications, readers gain invaluable perspectives on the prevailing IoT trends shaping industrial landscapes. Spanning from intelligent factories and predictive maintenance to supply chain optimization and energy management, the book addresses a spectrum of topics reflective of contemporary industrial challenges and opportunities. WHAT WILL YOU LEARN ● Gain a comprehensive understanding of Industry 4.0, delving into its historical context and core principles, with a focus on its technological cornerstone, IoT. ● Explore the layered architecture of IoT, covering perception, network, cloud, and application layers. ● Dive into the functionalities and applications of microcontrollers in IoT projects, particularly Arduino and ESP microcontrollers for beginners. ● Understand the IoT product development framework and the significance of machine-to-machine communication in the IoT ecosystem across various domains. ● Comprehend the diverse communication protocols used in IoT systems, analyzing their strengths, weaknesses, and practical applications. WHO IS THIS BOOK FOR? This book is tailored for engineers and professionals within industrial sectors looking to grasp and execute IoT solutions effectively. It also caters to students, academics delving into IoT studies, and individuals keen on staying abreast of the latest trends in Industry 4.0. TABLE OF CONTENTS 1. Industrial Revolution with IoT 2. The Architecture of IoT 3. Microcontrollers – The Brain Behind IoT Devices 4. Communication Protocols in IoT 5. Introduction to Interfacing Protocols 6. MQTT – The Protocol for Internet of Things 7. Machine-to-Machine Communication 8. Shifting to ESP-IDF 9. IoT in Industry 4.0 Index

Industrial revolutions have impacted both, manufacturing and service. From the steam engine to digital automated production, the industrial revolutions have conduced significant changes in operations and supply chain management (SCM) processes. Swift changes in manufacturing and service systems have led to phenomenal improvements in productivity. The fast-paced environment brings new challenges and opportunities for the companies that are associated with the adaptation to the new concepts such as Internet of Things (IoT) and Cyber Physical Systems, artificial intelligence (AI), robotics, cyber security, data analytics, block chain and cloud technology. These emerging technologies facilitated and expedited the birth of Logistics 4.0. Industrial Revolution 4.0 initiatives in SCM has attracted stakeholders’ attentions due to it is ability to empower using a set of technologies together that helps to execute more efficient production and distribution systems. This initiative has been called Logistics 4.0 of the fourth Industrial Revolution in SCM due to its high potential. Connecting entities, machines, physical items and enterprise resources to each other by using sensors, devices and the internet along the supply chains are the main attributes of Logistics 4.0. IoT enables customers to make more suitable and valuable decisions due to the data-driven structure of the Industry 4.0 paradigm. Besides that, the system’s ability of gathering and analyzing information about the environment at any given time and adapting itself to the rapid changes add significant value to the SCM processes. In this peer-reviewed book, experts from all over the world, in the field present a conceptual framework for Logistics 4.0 and provide examples for usage of Industry 4.0 tools in SCM. This book is a work that will be beneficial for both practitioners and students and academicians, as it covers the theoretical framework, on the one hand, and includes examples of practice and real world.

Explore the IoT with other emerging technologies like Artificial Intelligence, Machine Learning, Cloud Computing, and Blockchain Technology KEY FEATURES ● Learn from the basics of Internet of Everything, Industry 4.0, and Society 5.0. ● Check your knowledge with self-assessment questions and case studies. ● Supports the Government of India project “Digital India” and visualizes its completeness through the Internet of Things. ● Build a smarter environment (Smart Grid, Smart Home, Smart Transportation) through smart devices. ● Explore critical challenges with the future of IoT devices and possible uses in the next decade with IoTs devices. DESCRIPTION The Internet of Things is a new technology that scientists predict will transform the entire Internet and its components. This book explores how the Internet of Things would be incomplete without Artificial Intelligence. The emphasis would be on recent breakthroughs in the Internet of Things and their societal applications. IoT and IoE can deliver effective services in various areas, improving people's lives. This book teaches readers about the Internet of Things, its varieties, and its applications in various beneficial industries, including smart farming, smart homes, waste management systems, smart transportation systems, smart environments, and smart healthcare. In addition, numerous upcoming technologies and their integration with IoT devices have been included in this book through hands-on smart projects to help readers easily grasp the concepts. The book concludes with numerous IoT-AI-Blockchain studies, which are the future of IoT for researchers. WHAT YOU WILL LEARN ● Implement IoT and its different technologies to create smarter projects. ● Explore IoT and its many variations. ● Investigate IoT applications and the cloud-based technology that underpins them. ● Consider IoT's impact on healthcare, security, and other industries. ● Discover how the Internet of Things (IoT) and the Blockchain will play a role in the Smarter Future. WHO THIS BOOK IS FOR The book is primarily for anyone who wishes to learn about the IoT and its applications. Students, researchers, academicians, industry professionals, governmental organizations, and non-governmental organizations (NGO, Research Labs) will find this book extremely useful for implementing smart projects. TABLE OF CONTENTS 1. An Introduction to Internet of Things, its Variants and Possible Uses 2. Industry 4.0 and Society 5.0 for a Digital Environment 3. Internet of Things and Machine Learning 4. Role of AI in Smart Cyber Security for IoT-based Cloud Applications 5. IoMT and IoNT for Industry 4.0 and Society 5.0 6. Blockchain Based Solutions for IoT Based Cloud Architecture 7. Internet of Things Based Smart Energy- One Step Towards Clean Energy 8. Internet of Thing’s Network Design and its Architecture 9. Intelligent Systems for the Internet of Things and Services Computing 10. Internet of Vehicles- The Internet of Things Based Cloud Technology 11. IoTs, Blockchain and Big Data based Network for Future Generation 12. AI as a Big Player in IoTs: Analysis of Threats 13. Role of 5G network in the Growth of the IoTs Based Environment 14. Security and Privacy Concerns with IoTs Devices 15. The Rise of Big Data, Intelligent Devices, IIoT, and Digital Twin Technology 16. Analysis of Several Aspects of Blockchain-Enabled IoTs for Future 17. IoTs Based Cloud Environments: Issues, Challenges and Future Research Directions