The Smart Cyber Ecosystem for Sustainable Development

The Smart Cyber Ecosystem for Sustainable Development

As the entire ecosystem is moving towards a sustainable goal, technology driven smart cyber system is the enabling factor to make this a success, and the current book documents how this can be attained.

The cyber ecosystem consists of a huge number of different entities that work and interact with each other in a highly diversified manner. In this era, when the world is surrounded by many unseen challenges and when its population is increasing and resources are decreasing, scientists, researchers, academicians, industrialists, government agencies and other stakeholders are looking toward smart and intelligent cyber systems that can guarantee sustainable development for a better and healthier ecosystem. The main actors of this cyber ecosystem include the Internet of Things (IoT), artificial intelligence (AI), and the mechanisms providing cybersecurity.

This book attempts to collect and publish innovative ideas, emerging trends, implementation experiences, and pertinent user cases for the purpose of serving mankind and societies with sustainable societal development. The 22 chapters of the book are divided into three sections: Section I deals with the Internet of Things, Section II focuses on artificial intelligence and especially its applications in healthcare, whereas Section III investigates the different cyber security mechanisms.

Audience

This book will attract researchers and graduate students working in the areas of artificial intelligence, blockchain, Internet of Things, information technology, as well as industrialists, practitioners, technology developers, entrepreneurs, and professionals who are interested in exploring, designing and implementing these technologies.

Auteur

Pardeep Kumar is a Professor and Head of the Software Engineering Department and Director ORIC, Quaid-e-Awam University of Engineering, Science & Technology (QUEST) Nawabshah, Pakistan. He completed his PhD from Berlin, Germany in 2012. He has authored more than 50 research publications in reputed journals and conferences around the world including three books and several book chapters.

Vishal Jain PhD is an associate professor in the Department of Computer Science and Engineering, School of Engineering and Technology, Sharda University, Greater Noida, U.P. India. He has authored more than 85 research papers in reputed conferences and journals, and has authored and edited more than 10 books. Vasaki Ponnusamy is an assistant professor in the Universiti Tunku Abdul Rahman, Malaysia where she heads the Department of Computer and Communication Technology. She obtained her PhD in IT from Universiti Teknologi PETRONAS (UTP), Malaysia (2013).

Résumé
The Smart Cyber Ecosystem for Sustainable Development As the entire ecosystem is moving towards a sustainable goal, technology driven smart cyber system is the enabling factor to make this a success, and the current book documents how this can be attained. The cyber ecosystem consists of a huge number of different entities that work and interact with each other in a highly diversified manner. In this era, when the world is surrounded by many unseen challenges and when its population is increasing and resources are decreasing, scientists, researchers, academicians, industrialists, government agencies and other stakeholders are looking toward smart and intelligent cyber systems that can guarantee sustainable development for a better and healthier ecosystem. The main actors of this cyber ecosystem include the Internet of Things (IoT), artificial intelligence (AI), and the mechanisms providing cybersecurity. This book attempts to collect and publish innovative ideas, emerging trends, implementation experiences, and pertinent user cases for the purpose of serving mankind and societies with sustainable societal development. The 22 chapters of the book are divided into three sections: Section I deals with the Internet of Things, Section II focuses on artificial intelligence and especially its applications in healthcare, whereas Section III investigates the different cyber security mechanisms. Audience This book will attract researchers and graduate students working in the areas of artificial intelligence, blockchain, Internet of Things, information technology, as well as industrialists, practitioners, technology developers, entrepreneurs, and professionals who are interested in exploring, designing and implementing these technologies.

Contenu
Preface xxi

Part 1: Internet of Things 1

1 Voyage of Internet of Things in the Ocean of Technology 3
*Tejaskumar R. Ghadiyali, Bharat C. Patel and Manish M. Kayasth*

1.1 Introduction 3

1.1.1 Characteristics of IoT 4

1.1.2 IoT Architecture 5

1.1.3 Merits and Demerits of IoT 6

1.2 Technological Evolution Toward IoT 7

1.3 IoT-Associated Technology 8

1.4 Interoperability in IoT 14

1.5 Programming Technologies in IoT 15

1.5.1 Arduino 15

1.5.2 Raspberry Pi 17

1.5.3 Python 18

1.6 IoT Applications 19

Conclusion 22

References 22

2 AI for Wireless Network Optimization: Challenges and Opportunities 25
*Murad *Abusubaih

2.1 Introduction to AI 25

2.2 Self-Organizing Networks 27

2.2.1 Operation Principle of Self-Organizing Networks 27

2.2.2 Self-Configuration 28

2.2.3 Self-Optimization 28

2.2.4 Self-Healing 28

2.2.5 Key Performance Indicators 29

2.2.6 SON Functions 29

2.3 Cognitive Networks 29

2.4 Introduction to Machine Learning 30

2.4.1 ML Types 31

2.4.2 Components of ML Algorithms 31

2.4.3 How do Machines Learn? 32

2.4.3.1 Supervised Learning 32

2.4.3.2 Unsupervised Learning 33

2.4.3.3 Semi-Supervised Learning 35

2.4.3.4 Reinforcement Learning 35

2.4.4 ML and Wireless Networks 36

2.5 Software-Defined Networks 36

2.5.1 SDN Architecture 37

2.5.2 The OpenFlow Protocol 38

2.5.3 SDN and ML 39

2.6 Cognitive Radio Networks 39

2.6.1 Sensing Methods 41

2.7 ML for Wireless Networks: Challenges and Solution Approaches 41

2.7.1 Cellular Networks 42

2.7.1.1 Energy Saving 42

2.7.1.2 Channel Access and Assignment 42

2.7.1.3 User Association and Load Balancing 43

2.7.1.4 Traffic Engineering 44

2.7.1.5 QoS/QoE Prediction 45

2.7.1.6 Security 45

2.7.2 Wireless Local Area Networks 46

2.7.2.1 Access Point Selection 47

2.7.2.2 Interference Mitigation 48

2.7.2.3 Channel Allocation and Channel Bonding 49

2.7.2.4 Latency Estimation and Frame Length Selection 49

2.7.2.5 Handover 49

2.7.3 Cognitive Radio Networks 50

References 50

3 An Overview on Internet of Things (IoT) Segments and Technologies 57
*Amarjit Singh*

3.1 Introduction 57

3.2 Features of IoT 59

3.3 IoT Sensor Devices 59

3.4 IoT Architecture 61

3.5 Challenges and Issues in IoT 62

3.6 Future Opportunities in IoT 63

3.7 Discussion 64

3.8 Conclusion 65

References 65

4 The Technological Shift: AI in Big Data and IoT 69
*Deepti Sharma, Amandeep Singh and Sanyam Singhal*

4.1 Introduction 69

4.2 Artificial Intelligence 71

4.2.1 Machine Learning 71

4.2.2 Further Development in the Domain of Artificial Intelligence 73i

4.2.3 Programming Languages for Artificial Intelligence 74

4.2.4 Outcomes of Artificial Intelligence 74

4.3 Big Data 75

4.3.1 Artificial Intelligence Methods for Big Data 77

4.3.2 Industry Perspective of Big Data 77

4.3.2.1 In Medical Field 78

4.3.2.2 In Meteorological Department 78

4.3.2.3 In Industrial/Corporate Applications and Analytics 79

4.3.2.4 In Education 79

4.3.2.5 In Astronomy 79

4.4 Internet of Things 80

4.4.1 Interconnection of IoT With AoT 81

4.4.2 Difference Between IIoT and IoT 81

4.4.3 Industrial Approach for IoT 82

4.5 Technical Shift in AI, Big Data, and IoT 82 4.5.1 Industries Shiftin...