Industrial Internet of Things (IIoT)

1 Cover

2 Title Page

3 Copyright

4 Preface

5 1 A Look at IIoT: The Perspective of IoT Technology Applied in the Industrial Field 1.1 Introduction 1.2 Relationship Between Artificial Intelligence and IoT 1.3 IoT Ecosystem 1.4 Discussion 1.5 Trends 1.6 Conclusions References

6 2 Analysis on Security in IoT Devices—An Overview 2.1 Introduction 2.2 Security Properties 2.3 Security Challenges of IoT 2.4 IoT Security Threats 2.5 Assaults in IoT Devices 2.6 Security Analysis of IoT Platforms 2.7 Future Research Approaches References

7 3 Smart Automation, Smart Energy, and Grid Management Challenges 3.1 Introduction 3.2 Internet of Things and Smart Grids 3.3 Conceptual Model of Smart Grid 3.4 Building Computerization 3.5 Challenges and Solutions 3.6 Conclusions References

8 4 Industrial Automation (IIoT) 4.0: An Insight Into Safety Management 4.1 Introduction 4.2 Existing Technology and Its Review 4.3 Research Limitation 4.4 Finding 4.5 Conclusion and Future Research References

9 5 An Industrial Perspective on Restructured Power Systems Using Soft Computing Techniques 5.1 Introduction 5.2 Fuzzy Logic 5.3 Genetic Algorithm 5.4 Artificial Neural Network 5.5 Conclusion References

10 6 Recent Advances in Wearable Antennas: A Survey 6.1 Introduction 6.2 Types of Antennas 6.3 Design of Wearable Antennas 6.4 Textile Antennas 6.5 Comparison of Wearable Antenna Designs 6.6 Fractal Antennas 6.7 Future Challenges of Wearable Antenna Designs 6.8 Conclusion References

11 7 An Overview of IoT and Its Application With Machine Learning in Data Center 7.1 Introduction 7.2 Data Center and Internet of Things 7.3 Machine Learning Models and IoT 7.4 Challenges in Data Center and IoT 7.5 Conclusion References

12 8 Impact of IoT to Meet Challenges in Drone Delivery System 8.1 Introduction 8.2 Literature Survey 8.3 Smart Airport Architecture 8.4 Barriers to IoT Implementation 8.5 Current Technologies in Aviation Industry 8.6 IoT Adoption Challenges 8.7 Transforming Airline Industry With Internet of Things 8.8 Revolution of Change (Paradigm Shift) 8.9 The Following Diagram Shows the Design of the Application 8.10 Discussion, Limitations, Future Research, and Conclusion 8.11 Present and Future Scopes 8.12 Conclusion References

13 9 IoT-Based Water Management System for a Healthy Life 9.1 Introduction 9.2 Water Management Using IoT 9.3 IoT Characteristics and Measurement Parameters 9.4 Platforms and Configurations 9.5 Water Quality Measuring Sensors and Data Analysis 9.6 Wastewater and Storm Water Monitoring Using IoT 9.7 Sensing and Sampling of Water Treatment Using IoT References

14 10 Fuel Cost Optimization Using IoT in Air Travel 10.1 Introduction 10.2 Emerging Frameworks in IoT 10.3 Applications of IoT 10.4 IoT for Smart Airports 10.5 Related Work 10.6 Existing System and Analysis 10.7 Proposed System 10.8 Components in Fuel Reduction 10.9 Conclusion 10.10 Future Enhancements References

15 11 Object Detection in IoT-Based Smart Refrigerators Using CNN 11.1 Introduction 11.2 Literature Survey 11.3 Materials and Methods 11.4 Results and Discussion 11.5 Conclusion References

16 12 Effective Methodologies in Pharmacovigilance for Identifying Adverse Drug Reactions Using IoT 12.1 Introduction 12.2 Literature Review 12.3 Data Mining Tasks 12.4 Feature Selection Techniques in Data Mining 12.5 Classification With Neural Predictive Classifier 12.6 Conclusions References

17 13 Impact of COVID-19 on IIoT 13.1 Introduction 13.2 The Benefits of Industrial IoT 13.3 The Challenges of Wide-Spread IIoT Implementation 13.4 Effects of COVID-19 on Industrial Manufacturing 13.5 Winners and Losers—The Impact on IoT/ Connected Applications and Digital Transformation due to COVID-19 Impact 13.6 The Impact of COVID-19 on IoT Applications 13.7 The Impact of COVID-19 on Technology in General 13.8 The Impact of COVID-19 on Specific IoT Technologies 13.9 Coronavirus With IoT, Can Coronavirus Be Restrained? 13.10 The Potential of IoT in Coronavirus Like Disease Control 13.11 Conclusion References

18 14 A Comprehensive Composite of Smart Ambulance Booking and Tracking Systems Using IoT for Digital Services 14.1 Introduction 14.2 Literature Review 14.3 Design of Smart Ambulance Booking System Through App 14.4 Smart Ambulance Booking 14.5 Result and Discussion 14.6 Conclusion 14.7 Future Scope References

19 15 An Efficient Elderly Disease Prediction and Privacy Preservation Using Internet of Things 15.1 Introduction 15.2 Literature Survey 15.3 Problem Statement 15.4 Proposed Methodology 15.5 Result and Discussion 15.6 Conclusion References

20 Index

21 Also of Interest

22 End User License Agreement

1 Cover

2 Table of Contents

3 Title page

4 Copyright

5 Preface

6 Begin Reading

7 Index

8 Also of Interest

9 End User License Agreement

1 Chapter 1 Figure 1.1 Big data analytics illustration. Figure 1.2 Big data illustration. Figure 1.3 AI and data science illustration. Figure 1.4 Internet of Things. Figure 1.5 IoT illustration. Figure 1.6 Connection to the car’s illustration. Figure 1.7 IoT devices. Figure 1.8 IoT and blockchain illustration. Figure 1.9 Maintenance IoT vehicle illustration.

2 Chapter 3 Figure 3.1 Connections and linked objects of IoT. Figure 3.2 Autonomous robots with Industry 4.0.Figure 3.3 Architecture of SCADA.Figure 3.4 Smart grid conceptual model.Figure 3.5 Smart grid security.Figure 3.6 Classification of IoT-aided smart grid.Figure 3.7 Advanced metering infrastructure.

3 Chapter 4Figure 4.1 Working of IIoT.Figure 4.2 Big data analytics with IoT.Figure 4.3 Types of ML.Figure 4.4 Supervised and unsupervised learning.Figure 4.5 Reinforcement learning.Figure 4.6 Disaster lifecycle.

4 Chapter 5Figure 5.1 Construction of biological neuron.Figure 5.2 McCulloch-Pitts model.Figure 5.3 Multi-layer perceptron structure.Figure 5.4 A two-layered network.Figure 5.5 A recurrent network.Figure 5.6 AND network.Figure 5.7 OR network.Figure 5.8 XOR network.

5 Chapter 6Figure 6.1 Schematic of single patch on textile substrate [34].Figure 6.2 Side view of the five-layer model [34].Figure 6.3 The antenna geometry with MTM cells [36].Figure 6.4 Antenna design with partial ground: (a) front view; (b) back view.Figure 6.5 Logo-based tracking system [38].Figure 6.6 Antenna with EBG structure [41].Figure 6.7 Reconfigurable Antenna of O-shape: (a) OFF; (b) ON [43].Figure 6.8 UHF RFID tag antenna design [45].Figure 6.9 UHF RFID tag read range measurements vs. frequency [45].Figure 6.10 Gain, efficiency vs. frequency for Zelt antenna [46].Figure 6.11 Wearable fractal antenna with different iterations: (a) 0th; (b) 1st...Figure 6.12 Wearable fractal antenna with iterations: (a) 0th; (b) 1st; and (c) ...Figure 6.13 The embroidered Sierpinski carpet antenna: (a) substrate material; (...

6 Chapter 7Figure 7.1 IoT protocol with OSI standard.Figure 7.2 IoT layers and protocols.Figure 7.3 IoT packet headers.Figure 7.4 Confirmable message passing mechanism.Figure 7.5 Non-confirmable message passing mechanism.Figure 7.6 MQTT subscriber-publisher model.Figure 7.7 IoT components.Figure 7.8 IoT communication architecture.Figure 7.9 Data center architecture.Figure 7.10 Fog computing.Figure 7.11 Edge computing.Figure 7.12 Stages of machine learning.Figure 7.13 Classification of machine learning that can be supported in IoT.Figure 7.14 Challenges in IoT and data center.

7 Chapter 8Figure 8.1 Multidrone architecture for autonomous cinematography.Figure 8.2 Current technologies in aviation industry.

8 Chapter 9Figure 9.1 Water quality factors.Figure 9.2 Water quality management framework.Figure 9.3 Intelligent IoT-based water quality management framework.Figure 9.4 Smart wastewater quality monitoring system.Figure 9.5 Containments of sensing in water.