Ambient Intelligence and Internet of Things: Convergent Technologies

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