Ambient Intelligence and Internet of Things: Convergent Technologies

Description

AMBINET INTELLIGENCE AND INTERNET OF THINGS The book explores long-term implementation techniques and research paths of ambient intelligence and the Internet of Things that meet the design and application requirements of a variety of modern and real-time applications. Working environments based on the emerging technologies of ambient intelligence (AmI) and the Internet of Things (IoT) are available for current and future use in the diverse field of applications. The AmI and IoT paradigms aim to help people achieve their daily goals by augmenting physical environments using networks of distributed devices, including sensors, actuators, and computational resources. Because AmI-IoT is the convergence of numerous technologies and associated research fields, it takes significant effort to integrate them to make our lives easier. It is asserted that Am I can successfully analyze the vast amounts of contextual data obtained from such embedded sensors by employing a variety of artificial intelligence (AI) techniques and that it will transparently and proactively change the environment to conform to the requirements of the user. Over time, the long-term research goals and implementation strategies could meet the design and application needs of a wide range of modern and real-time applications. The 13 chapters in Ambient Intelligence and Internet of Things: Convergent Technologies provide a comprehensive knowledge of the fundamental structure of innovative cutting-edge AmI and IoT technologies as well as practical applications. Audience The book will appeal to researchers, industry engineers, and students in artificial and ambient intelligence, the Internet of Things, intelligent systems, electronics and communication, electronics instrumentations, and computer science. Cover Title Page Copyright Page Contents Preface Chapter 1 Ambient Intelligence and Internet of Things: An Overview 1.1 Introduction 1.2 Ambient Intelligent System 1.3 Characteristics of AmI Systems 1.4 Driving Force for Ambient Computing 1.5 Ambient Intelligence Contributing Technologies 1.6 Architecture Overview 1.7 The Internet of Things 1.8 IoT as the New Revolution 1.9 IoT Challenges 1.10 Role of Artificial Intelligence in the Internet of Things (IoT) 1.11 IoT in Various Domains 1.12 Healthcare 1.13 Home Automation 1.14 Smart City 1.15 Security 1.16 Industry 1.17 Education 1.18 Agriculture 1.19 Tourism 1.20 Environment Monitoring 1.21 Manufacturing and Retail 1.22 Logistics 1.23 Conclusion References Chapter 2 An Overview of Internet of Things Related Protocols, Technologies, Challenges and Application 2.1 Introduction 2.1.1 History of IoT 2.1.2 Definition of IoT 2.1.3 Characteristics of IoT 2.2 Messaging Protocols 2.2.1 Constrained Application Protocol 2.2.2 Message Queue Telemetry Transport 2.2.3 Extensible Messaging and Presence Protocol 2.2.4 Advance Message Queuing Protocol (AMQP) 2.3 Enabling Technologies 2.3.1 Wireless Sensor Network 2.3.2 Cloud Computing 2.3.3 Big Data Analytics 2.3.4 Embedded System 2.4 IoT Architecture 2.5 Applications Area 2.6 Challenges and Security Issues 2.7 Conclusion References Chapter 3 Ambient Intelligence Health Services Using IoT 3.1 Introduction 3.2 Background of AML 3.2.1 What is AML? 3.3 AmI Future 3.4 Applications of Ambient Intelligence 3.4.1 Transforming Hospitals and Enhancing Patient Care With the Help of Ambient Intelligence 3.4.2 With Technology, Life After the COVID-19 Pandemic 3.5 COVID-19 3.5.1 Prevention 3.5.2 Symptoms 3.6 Coronavirus Worldwide 3.7 Proposed Framework for COVID-19 3.8 Hardware and Software 3.8.1 Hardware 3.8.2 Heartbeat Sensor 3.8.3 Principle 3.8.4 Working 3.8.5 Temperature Sensor 3.8.6 Principle 3.8.7 Working 3.8.8 BP Sensor 3.8.9 Principle 3.8.10 Working 3.9 Mini Breadboard 3.10 Node MCU 3.11 Advantages 3.12 Conclusion References Chapter 4 Security in Ambient Intelligence and Internet of Things 4.1 Introduction 4.2 Research Areas 4.3 Security Threats and Requirements 4.3.1 Ad Hoc Network Security Threats and Requirements 4.3.1.1 Availability 4.3.1.2 Confidentiality 4.3.1.3 Integrity 4.3.1.4 Key Management and Authorization 4.3.2 Security Threats and Requirements Due to Sensing Capability in the Network 4.3.2.1 Availability 4.3.2.2 Confidentiality 4.3.2.3 Integrity 4.3.2.4 Key Distribution and Management 4.3.2.5 Resilience to Node Capture 4.3.3 Security Threats and Requirements in AmI and IoT Based on Sensor Network 4.3.3.1 Availability 4.3.3.2 Confidentiality 4.3.3.3 Confidentiality of Location 4.3.3.4 Integrity 4.3.3.5 Nonrepudiation 4.3.3.6 Fabrication 4.3.3.7 Intrusion Detection 4.3.3.8 Confidentiality 4.3.3.9 Trust Management 4.4 Security Threats in Existing Routing Protocols that are Designed With No Focus on Security in AmI and IoT Based on Sensor Networks 4.4.1 Infrastructureless 4.4.1.1 Dissemination-Based Routing 4.4.1.2 Context-Based Routing 4.4.2 Infrastructure-Based 4.4.2.1 Network with Fixed Infrastructure 4.4.2.2 New Routing Strategy for Wireless Sensor Networks to Ensure Source Location Privacy 4.5 Protocols Designed for Security Keeping Focus on Security at Design Time for AmI and IoT Based on Sensor Network 4.5.1 Secure Routing Algorithms 4.5.1.1 Identity-Based Encryption (I.B.E.) Scheme 4.5.1.2 Policy-Based Cryptography and Public Encryption with Keyword Search 4.5.1.3 Secure Content-Based Routing 4.5.1.4 Secure Content-Based Routing Using Local Key Management Scheme 4.5.1.5 Trust Framework Using Mobile Traces 4.5.1.6 Policy-Based Authority Evaluation Scheme 4.5.1.7 Optimized Millionaire’s Problem 4.5.1.8 Security in Military Operations 4.5.1.9 A Security Framework Application Based on Wireless Sensor Networks 4.5.1.10 Trust Evaluation Using Multifactor Method 4.5.1.11 Prevention of Spoofing Attacks 4.5.1.12 QoS Routing Protocol 4.5.1.13 Network Security Virtualization 4.5.2 Comparison of Routing Algorithms and Impact on Security 4.5.3 Inducing Intelligence in IoT Networks Using Artificial Intelligence 4.5.3.1 Fuzzy Logic-1 4.5.3.2 Fuzzy Logic-2 4.6 Introducing Hybrid Model in Military Application for Enhanced Security 4.6.1 Overall System Architecture 4.6.2 Best Candidate Selection 4.6.3 Simulation Results in Omnet++ 4.6 Conclusion References Chapter 5 Futuristic AI Convergence of Megatrends: IoT and Cloud Computing 5.1 Introduction 5.1.1 Our Contribution 5.2 Methodology 5.2.1 Statistical Information 5.3 Artificial Intelligence of Things 5.3.1 Application Areas of IoT Technologies 5.3.1.1 Energy Management 5.3.1.2 5G/Wireless Systems 5.3.1.3 Risk Assessment 5.3.1.4 Smart City 5.3.1.5 Health Sectors 5.4 AI Transforming Cloud Computing 5.4.1 Application Areas of Cloud Computing 5.4.2 Energy/Resource Management 5.4.3 Edge Computing 5.4.4 Distributed Edge Computing and Edge-of-Things (EoT) 5.4.5 Fog Computing in Cloud Computing 5.4.6 Soft Computing and Others 5.5 Conclusion References Chapter 6 Analysis of Internet of Things Acceptance Dimensions in Hospitals 6.1 Introduction 6.2 Literature Review 6.2.1 Overview of Internet of Things 6.2.2 Internet of Things in Healthcare 6.2.3 Research Hypothesis 6.2.3.1 Technological Context (TC) 6.2.3.2 Organizational Context (OC) 6.2.3.3 Environmental Concerns (EC) 6.3 Research Methodology 6.3.1 Demographics of the Respondents 6.4 Data Analysis 6.4.1 Reliability and Validity 6.4.1.1 Cronbach’s Alpha 6.4.1.2 Composite Reliability 6.4.2 Exploratory Factor Analysis (EFA) 6.4.3 Confirmatory Factor Analysis Results 6.4.3.1 Divergent or Discriminant Validity 6.4.4 Structural Equation Modeling 6.5 Discussion 6.5.1 Technological Context 6.5.2 Organizational Context 6.5.3 Environmental Context 6.6 Conclusion References Chapter 7 Role of IoT in Sustainable Healthcare Systems 7.1 Introduction 7.2 Basic Structure of IoT Implementation in the Healthcare Field 7.3 Different Technologies of IoT for the Healthcare Systems 7.3.1 On the Basis of the Node Identification 7.3.2 On the Basis of the Communication Method 7.3.3 Depending on the Location of the Object 7.4 Applications and Examples of IoT in the Healthcare Systems 7.4.1 IoT-Based Healthcare System to Encounter COVID-19 Pandemic Situations 7.4.2 Wearable Devices 7.4.3 IoT-Enabled Patient Monitoring Devices From Remote Locations 7.4.3.1 Pulse Rate Sensor 7.4.3.2 Respiratory Rate Sensors 7.4.3.3 Body Temperature Sensors 7.4.3.4 Blood Pressure Sensing 7.4.3.5 Pulse Oximetry Sensors 7.5 Companies Associated With IoT and Healthcare Sector Worldwide 7.6 Conclusion and Future Enhancement in the Healthcare System With IoT References Chapter 8 Fog Computing Paradigm for Internet of Things Applications 8.1 Introduction 8.2 Challenges 8.3 Fog Computing: The Emerging Era of Computing Paradigm 8.3.1 Definition of Fog Computing 8.3.2 Fog Computing Characteristic 8.3.3 Comparison Between Cloud and Fog Computing Paradigm 8.3.4 When to Use Fog Computing 8.3.5 Fog Computing Architecture for Internet of Things 8.3.6 Fog Assistance to Address the New IoT Challenges 8.3.7 Devices Play a Role of Fog Computing Node 8.4 Related Work 8.5 Fog Computing Challenges 8.6 Fog Supported IoT Applications 8.7 Summary and Conclusion References Chapter 9 Application of Internet of Things in Marketing Management 9.1 Introduction 9.2 Literature Review 9.2.1 Customer Relationship Management 9.2.2 Product Life Cycle (PLC) 9.2.3 Business Process Management (BPM) 9.2.4 Ambient Intelligence (AmI) 9.2.5 IoT and CRM Integration 9.2.6 IoT and BPM Integration 9.2.7 IoT and Product Life Cycle 9.2.8 IoT in MMgnt 9.2.9 Impacts of AmI on Marketing Paradigms 9.3 Research Methodology 9.4 Discussion 9.4.1 Research Proposition 1 9.4.2 Research Proposition 2 9.4.3 Research Proposition 3 9.4.4 Research Proposition 4 9.4.5 Research Proposition 5 9.5 Results 9.4 Conclusions References Chapter 10 Healthcare Internet of Things: A New Revolution 10.1 Introduction 10.2 Healthcare IoT Architecture (IoT) 10.3 Healthcare IoT Technologies 10.3.1 Technology for Identification 10.3.2 Location Technology 10.3.2.1 Mobile-Based IoT 10.3.2.2 Wearable Devices 10.3.2.3 Ambient-Assisted Living (AAL) 10.3.3 Communicative Systems 10.3.3.1 Radiofrequency Identification 10.3.3.2 Bluetooth 10.3.3.3 Zigbee 10.3.3.4 Near Field Communication 10.3.3.5 Wireless Fidelity (Wi-Fi) 10.3.3.6 Satellite Communication 10.4 Community-Based Healthcare Services 10.5 Cognitive Computation 10.6 Adverse Drug Reaction 10.7 Blockchain 10.8 Child Health Information 10.9 Growth in Healthcare IoT 10.10 Benefits of IoT in Healthcare 10.11 Conclusion References Chapter 11 Detection-Based Visual Object Tracking Based on Enhanced YOLO-Lite and LSTM 11.1 Introduction 11.2 Related Work 11.3 Proposed Approach 11.3.1 Enhanced YOLO-Lite 11.3.2 Long Short-Term Memory 11.3.3 Working of Proposed Framework 11.4 Evaluation Metrics 11.5 Experimental Results and Discussion 11.5.1 Implementation Details 11.5.2 Performance on OTB-2015 11.5.3 Performance on VOT-2016 11.5.4 Performance on UAV-123 11.6 Conclusion References Chapter 12 Introduction to AmI and IoT 12.1 Introduction 12.1.1 AmI and IoT Characteristics and Definition of Overlaps 12.1.1.1 Perceptions of “AmI” and the “IoT” 12.1.2 Prospects and Perils of AmI and the IoT 12.1.2.1 Assistances and Claim Areas 12.1.2.2 Intimidations and Contests Relating to AmI and the IoT 12.2 AmI and the IoT and Environmental and Societal Sustainability: Dangers, Challenges, and Underpinnings 12.3 Role of AmI and the IoT as New I.C.T.s to Conservational and Social Sustainability 12.3.1 AmI and the IoT for Environmental Sustainability: Issues, Discernment, and Favoritisms in Tactical Innovation Pursuits 12.4 The Environmental Influences of AmI and the IoT Technology 12.4.1 Fundamental Properties 12.4.2 Boom Properties 12.4.3 Oblique Outcomes 12.4.4 Straight Outcome 12.5 Conclusion References Chapter 13 Design of Optimum Construction Site Management Architecture: A Quality Perspective Using Machine Learning Approach 13.1 Introduction 13.2 Literature Review 13.3 Proposed Construction Management Model Based on Machine Learning 13.4 Comparative Analysis 13.5 Conclusion References Index EULA