Read more
AMBIENT 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.
List of contents
Preface xv
1 Ambient Intelligence and Internet of Things: An Overview 1
Md Rashid Mahmood, Harpreet Kaur, Manpreet Kaur, Rohit Raja and Imran Ahmed Khan
1.1 Introduction 2
1.2 Ambient Intelligent System 5
1.3 Characteristics of AmI Systems 6
1.4 Driving Force for Ambient Computing 9
1.5 Ambient Intelligence Contributing Technologies 9
1.6 Architecture Overview 11
1.7 The Internet of Things 14
1.8 IoT as the New Revolution 14
1.9 IoT Challenges 16
1.10 Role of Artificial Intelligence in the Internet of Things (IoT) 18
1.11 IoT in Various Domains 19
1.12 Healthcare 20
1.13 Home Automation 20
1.14 Smart City 21
1.15 Security 21
1.16 Industry 22
1.17 Education 23
1.18 Agriculture 24
1.19 Tourism 26
1.20 Environment Monitoring 27
1.21 Manufacturing and Retail 28
1.22 Logistics 28
1.23 Conclusion 29
References 29
2 An Overview of Internet of Things Related Protocols, Technologies, Challenges and Application 33
Deevesh Chaudhary and Prakash Chandra Sharma
2.1 Introduction 34
2.1.1 History of IoT 35
2.1.2 Definition of IoT 36
2.1.3 Characteristics of IoT 36
2.2 Messaging Protocols 37
2.2.1 Constrained Application Protocol 38
2.2.2 Message Queue Telemetry Transport 39
2.2.3 Extensible Messaging and Presence Protocol 41
2.2.4 Advance Message Queuing Protocol (AMQP) 41
2.3 Enabling Technologies 41
2.3.1 Wireless Sensor Network 41
2.3.2 Cloud Computing 42
2.3.3 Big Data Analytics 43
2.3.4 Embedded System 43
2.4 IoT Architecture 44
2.5 Applications Area 46
2.6 Challenges and Security Issues 49
2.7 Conclusion 50
References 51
3 Ambient Intelligence Health Services Using IoT 53
Pawan Whig, Ketan Gupta, Nasmin Jiwani and Arun Velu
3.1 Introduction 54
3.2 Background of AML 55
3.2.1 What is AML? 55
3.3 AmI Future 58
3.4 Applications of Ambient Intelligence 60
3.4.1 Transforming Hospitals and Enhancing Patient Care With the Help of Ambient Intelligence 60
3.4.2 With Technology, Life After the COVID-19 Pandemic 61
3.5 Covid-19 63
3.5.1 Prevention 64
3.5.2 Symptoms 64
3.6 Coronavirus Worldwide 65
3.7 Proposed Framework for COVID- 19 67
3.8 Hardware and Software 69
3.8.1 Hardware 69
3.8.2 Heartbeat Sensor 70
3.8.3 Principle 70
3.8.4 Working 70
3.8.5 Temperature Sensor 71
3.8.6 Principle 71
3.8.7 Working 71
3.8.8 BP Sensor 72
3.8.9 Principle 72
3.8.10 Working 72
3.9 Mini Breadboard 73
3.10 Node MCU 73
3.11 Advantages 76
3.12 Conclusion 76
References 76
4 Security in Ambient Intelligence and Internet of Things 81
Salman Arafath Mohammed and Md Rashid Mahmood
4.1 Introduction 82
4.2 Research Areas 84
4.3 Security Threats and Requirements 84
4.3.1 Ad Hoc Network Security Threats and Requirements 85
4.3.1.1 Availability 86
4.3.1.2 Confidentiality 86
4.3.1.3 Integrity 86
4.3.1.4 Key Management and Authorization 86
4.3.2 Security Threats and Requirements Due to Sensing Capability in the Network 87
4.3.2.1 Availability 87
4.3.2.2 Confidentiality 87
About the author
Md Rashid Mahmood, PhD, is a professor in the Department of Electronics and Communication Engineering, Guru Nanak Institutions Technical Campus, Hyderabad, India. He has published 50 research papers in international/national journals as well as 10 patents.
Rohit Raja, PhD, is an associate professor & Head, IT Department, Guru Ghasidas, Vishwavidyalaya, Bilaspur, (CG), India. He has published 80 research papers in international/national journals as well as 13 patents.
Harpreet Kaur, PhD, is an associate professor in the Department of Electronics and Communication Engineering, Guru Nanak Institutions Technical Campus, Hyderabad, India. Her research interests include vehicle detection and tracking in autonomous vehicles, and image processing.
Sandeep Kumar, PhD, is a professor in the Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India. He has published 85 research papers in international/national journals as well as 9 patents.
Kapil Kumar Nagwanshi, PhD, is an associate professor at SoS E&T, Guru Ghasidas Vishwavidyalaya, Bilaspur, India. He has published more the 25 articles in SCI and Scopus-indexed Journals, and six patents were granted. His area of interest includes AI-ML, computer vision, and IoT.
Summary
AMBIENT 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.
