The Next Generation Innovation in IoT and Cloud Computing with Applications

The Next Generation Innovation in IoT and Cloud Computing with Applications is a thought-provoking edited book that explores the cutting-edge advancements and transformative potential of the Internet of Things (IoT) and cloud computing. This comprehensive volume brings together leading experts and researchers to delve into the latest developments, emerging trends, and practical applications that define the next era of technological innovation. Readers will gain valuable insights into how IoT and cloud computing synergize to create a dynamic ecosystem, fostering unprecedented connectivity and efficiency across various industries. The book covers a wide spectrum of topics, including state-of-the-art technologies, security and privacy considerations, and real-world applications in fields such as healthcare, smart cities, agriculture, and more. With a focus on the future landscape of technology, this edited collection serves as a pivotal resource for academics, professionals, and enthusiasts eager to stay at the forefront of the rapidly evolving IoT and cloud computing domains. By offering a blend of theoretical perspectives and hands-on experiences, The Next Generation Innovation in IoT and Cloud Computing with Applications serves as a guide to the forefront of technological progress, providing a roadmap for the exciting possibilities that lie ahead in this era of connectivity and digital transformation. Cover Half Title Title Copyright Contents Preface About the Editors List of Contributors 1 Intelligent Application Development in Cloud with IoT 1.1 Introduction 1.2 Cloud Computing 1.2.1 Cloud Deployment Model 1.2.2 Cloud Service Model 1.3 IoT(Internet of Things) 1.4 Intelligent Application Development with IoT in Cloud Computing 1.4.1 Agritech 1.4.2 Intelligent Medical IoT Applications 1.4.3 Smart Home 1.4.4 IoT in Industrial Operation Control 1.4.5 Smart Switchboard 1.4.6 Lifesaver Intelligent IoT Tools 1.5 Future Trends in Development of Intelligent IoT Applications Using the Cloud Computing Model 1.5.1 Vendor Collaboration 1.5.2 Intelligent Cloud 1.5.3 More Security 1.5.4 Edge Computing 1.5.5 Quantum Computing 1.5.6 Energy Efficient 1.5.7 Cloud Disaster Recovery 1.6 Conclusion 2 Significant role of IoT in Cyber-Physical Systems, Context Awareness, and Ambient Intelligence 2.1 Overview of Internet of Things 2.1.1 An IoT System Consists of Four Crucial Components to Make It Work 2.1.2 IoT Device Management 2.2 IoT and Cyber-Physical Systems: Integration, Architecture, and Design Considerations 2.3 Context Awareness in IoT-Enabled Cyber-Physical Systems: Challenges and Opportunities 2.4 Ambient Intelligence and User Experience in IoT-Enabled Cyber-Physical Systems 2.4.1 IoT-Enabled Cyber-Physical Systems Consist of Two Distinct Components: The Cyber Component and the Physical Component 2.5 Security and Privacy Challenges in IoT-Enabled Cyber-Physical Systems 2.6 Real-World Applications of IoT-Enabled Cyber-Physical Systems in Smart Cities and Industries 2.7 Machine Learning Techniques for Context-Aware IoT-Enabled Cyber-Physical Systems 2.8 Energy-Efficient Communication Protocols for IoT-Enabled Cyber-Physical Systems 2.9 Societal and Environmental Impact of IoT-Enabled Cyber-Physical Systems 2.9.1 IoT-Enabled Physical Systems 2.10 Human-Machine Interaction in IoT-Enabled Cyber-Physical Systems 2.10.1 Human-Machine Interaction (HMI) Physical Systems 2.11 Cloud Computing and IoT-Enabled Cyber-Physical Systems 2.11.1 Cloud Computing and IoT-Enabled Cyber-Physical Systems 2.11.2 Cloud Computing and IoT-Enabled Physical Systems 2.12 Conclusion: Future Directions for Research and Development in IoT-Enabled Cyber-Physical Systems 3 Design and Implementation of the Distributed Dosimetric System Based on the Principles of IoT 3.1 Introduction 3.2 Literature Review and Problem Statement 3.3 The Aim and Objectives of the Study 3.4 The Study Materials and Methods 3.5 Results of Studying the Work of a Distributed Spectro-Dosimetric System with Remote Access 3.6 The UML Diagrams of Android Application Precedents and Dosimetric Module 3.7 The UML Diagrams of Module Status 3.8 The Diagram of Software Classes of Data Exchange Module and Client Android Application 3.9 The Diagram of Software Classes of Data Exchange Module and Client Android Application 3.10 Building the Structure Scheme of the Dosimetric Module of the System 3.11 Discussion of Results of Studying the IoT-Based Distributed Dosimetric System 3.12 Discussion of Results of Studying the IoT-Based Distributed Dosimetric System 3.13 Conclusions References 4 Next Era of Computing with Cloud Computing and IoT in Different Disciplines 4.1 Introduction 4.2 Background 4.3 Scope of IoT in Various Fields 4.3.1 IoT in Communication 4.3.2 IoT in Health Care 4.3.3 IoT in Agriculture 4.3.4 IoT in Education 4.4 Analysis and Future Scope 4.5 Conclusion References 5 Design and Development of Secure Mobile Social Network with IoT 5.1 Introduction 5.2 Mobile Social Networks 5.3 Security and Privacy Issues in Mobile Social Networks 5.4 IoT 5.5 Scope of IoT in MSN 5.6 Enhancing MSN Security through SIoT (Secure IoT) 5.7 Case Study: MSN in Healthcare 5.8 Creation of Secure MSN using IoT in Healthcare 5.9 Advantages and Limitations of IoT-Based MSN 5.10 Advantages 5.11 Disadvantages 5.12 Conclusion References 6 End-User and Human-Centric IoT, Including IoT Multimedia, Societal Impacts and Sustainable Development 6.1 Introduction 6.2 Internet of Things 6.3 Key Components of IoT 6.4 Applications of IoT 6.5 Challenges and Future of IoT 6.6 Human Computer Interface 6.7 Key Components of Human-Computer Interface 6.8 Design Principles of Human-Computer Interface 6.9 Advancements in Human-Computer Interface 6.10 Human-Centric IoT: Enhancing User Experience in the Internet of Things 6.11 Key Aspects of Human-Centric IoT 6.12 Examples of Human-Centric IoT Applications 6.13 Multimedia IoT 6.14 Societal Impact and Sustainable Development 6.15 Conclusion References 7 XAI-Driven Approaches for Ensuring Security and Data Protection in IoT 7.1 Introduction 7.2 IoT Systems and Security issues 7.2.1 Applications and Scope in Different Domains 7.2.2 Security Challenges in IoT 7.3 AI Applications in IoT 7.3.1 AI Enhances IoT in Different Areas 7.3.2 Limitations of AI in Handling IoT Security 7.4 Explainable Artificial Intelligence 7.5 Security Issues Addressed by XAI in IoT 7.6 Case Studies 7.6.1 Project in Italy Smart Agriculture 7.6.2 Smart Marina: Monitoring Mooring Berths, Sea Level, and Weather Conditions 7.6.3 Pfizer Drug Development 7.6.4 Turning a Stadium into a Smart Building—Honeywell 7.7 Explainable Multi-Agent Systems for IoT 7.8 Ethical Considerations and Future Prospects 7.8.1 Ethical Considerations 7.8.2 Future Prospects 7.9 Conclusion References 8 Application of Body Sensor Networks in Health Care Using the Internet of Medical Things (IoMT) 8.1 Introduction 8.1.1 Typical Key Components of a Body Sensor Network 8.2 Categories of Body Sensors 8.2.1 Respiratory Sensors 8.2.2 Oximetry 8.2.3 Thermal Sensors 8.2.4 Movement and Posture Sensors 8.2.5 Biochemical Sensors 8.2.6 Acoustic Sensors 8.2.7 Optical and Imaging Sensors 8.2.8 Bioimpedance Sensors 8.2.9 Environmental Sensors 8.3 Role of Body Sensor Networks in Health Care 8.3.1 Remote Patient Monitoring 8.3.2 Telemedicine and Telehealth 8.3.3 Chronic Disease Management 8.3.4 Fall Detection and Elderly Care 8.3.5 Post-Operative Monitoring 8.3.6 Clinical Research and Trials 8.4 Benefits of Body Sensor Networks in Health Care 8.4.1 Continuous Monitoring 8.4.2 Timely Interventions 8.4.3 Personalized Health Care 8.4.4 Enhanced Data Accuracy 8.4.5 Remote Consultations 8.4.6 Data-Driven Insights 8.4.7 Early Disease Detection 8.4.8 Improving Lifestyle Behaviors 8.4.9 Research and Innovation 8.5 IoT and IoMT 8.5.1 What Is IoMT? 8.5.2 Importance of IoMT 8.5.3 IoMT Architecture Overview 8.6 Wearable BSNs 8.6.1 Wearable BSN Example 8.6.2 Wearable BSN-Based ECG-Recording System 8.6.3 Hexoskin Biometric Shirt 8.7 Implantable BSN 8.7.1 Examples 8.8 Implantable Biosensor Chip 8.9 Types of Implantable BSN 8.10 BSN in IoMT 8.10.1 IoMT-Based WBSN Framework for Healthcare Monitoring System 8.11 Applications 8.11.1 Disease Prediction 8.11.2 Non-Invasive E-Medical Care 8.11.3 Ambient Assisted Living (AAL) 8.11.4 Remote Health Monitoring 8.11.5 Sleep Activity Monitoring 8.11.6 Real-Time Cardiac Activity Monitors 8.11.7 Holter Monitor 8.12 Conclusion References 9 Home Automation and Security Systems Using AI and IoT 9.1 Introduction 9.1.1 Background and Overview 9.1.2 Objective 9.1.3 Scope and Limitations 9.2 Methodology 9.2.1 Data Collection 9.2.2 Research Design 9.2.3 Home Automation Architecture 9.2.4 AI and IoT Integration in Home Automation and Security 9.3 Benefits and Challenges of AI and IoT in Home Automation and Security 9.3.1 Benefits 9.3.2 Challenges 9.4 Future Enhancements 9.4.1 Advanced AI Algorithms 9.4.2 Seamless Device Interoperability 9.4.3 Edge Computing for Enhanced Privacy and Speed 9.4.4 AI and Blockchain for Enhanced Security 9.5 Conclusion References