Fundamentals of Internet of Things

Fundamentals of Internet of Things

For Students and Professionals

Dian, F. John

John Wiley & Sons Inc

11/2022

432

Dura

Inglês

9781119847298

15 a 20 dias

666

About the Author xvii

Preface xix

1 Data Communications and Networks 1

1.1 Introduction 1

1.2 OSI Model 3

1.2.1 Layer 1 - Physical Layer 5

1.2.2 Layer 2 - Data Link Layer 5

1.2.2.1 Addressing 5

1.2.2.2 Framing 5

1.2.2.3 Error Control 6

1.2.2.4 Flow Control 6

1.2.2.5 Access Control 7

1.2.3 Layer 3 - Network Layer 7

1.2.4 Layer 4 - Transport Layer 7

1.2.4.1 Port Addressing 8

1.2.4.2 End-to-end Error Control 8

1.2.4.3 End-to-end Flow Control 8

1.2.4.4 Connection Control 8

1.2.4.5 Congestion Control 8

1.2.5 Layer 5 - Session Layer 9

1.2.6 Layer 6 - Presentation Layer 9

1.2.7 Layer 7 - Application Layer 9

1.3 Header Encapsulation 9

1.4 Layer 2 - Ethernet 10

1.4.1 Framing 11

1.4.2 Addressing 11

1.4.3 Error Control 11

1.4.4 Flow Control 12

1.4.5 Access Control 12

1.5 Layer 3 - IP 12

1.5.1 IPV4 and IPV6 headers 15

1.5.2 Improving IPV4 Address Assignments 17

1.6 Layer 4 - TCP and UDP 19

1.6.1 TCP Header 20

1.6.2 TCP Functionalities 22

1.6.2.1 Process-to-process Communication 22

1.6.2.2 Connection Control 22

1.6.2.3 Flow Control 22

1.6.2.4 Error Control 23

1.6.2.5 Congestion Control 24

1.6.3 UDP 24

1.7 TCP/IP Networking Model 25

1.8 Internetworking Devices 25

1.8.1 VLAN 27

1.8.2 Quality of Service (QoS) 28

1.9 Summary 29

References 30

Exercises 30

Advanced Exercises 32

2 Introduction to IoT 35

2.1 Introduction 35

2.2 IoT Traffic Model 36

2.3 IoT Connectivity 37

2.4 IoT Verticals, Use Cases, and Applications 39

2.5 IoT Value Chain 41

2.6 Examples of IoT Use Cases and Applications 42

2.6.1 IoT-based Structural Health Monitoring System 42

2.6.2 IoT-based Electric Meter 44

2.6.3 IoT-basedWaste Management System 44

2.6.4 IoT-based Earthquake Detection 45

2.6.5 IoT-based Car Software Update 45

2.6.6 IoT-based Mountain Climbing Information System 46

2.6.7 IoT-based Agriculture - Pest Management 46

2.6.8 IoT-basedWearable in Sports 47

2.6.9 IoT-based Healthcare System 47

2.6.10 IoT-based Augmented Reality (AR) System 48

2.6.11 IoT-based Food Supply Chain 49

2.6.12 Smart Grid System 49

2.7 IoT Project Implementation 51

2.8 IoT Standards 52

2.9 Summary 52

References 53

Exercises 53

Advanced Exercises 54

3 IoT Architecture 57

3.1 Introduction 57

3.2 Factors Affecting an IoT Architectural Model 58

3.3 IoT Architectural Model 59

3.4 IoT WF Architectural Model 59

3.5 Data Center and Cloud 63

3.6 Computing (Cloud, Fog, and Edge) 66

3.6.1 Cloud Computing 66

3.6.2 Fog Computing 67

3.6.3 Edge Computing 68

3.7 Summary 69

References 69

Exercises 69

Advanced Exercises 70

4 IoT Sensors 73

4.1 Introduction 73

4.2 Sensor and Its Performance Metrics 74

4.2.1 Static Performance Metrics 74

4.2.2 Dynamic Performance Metrics 76

4.2.3 Sensor Selection 77

4.3 Smart Sensors 80

4.4 MEMS 81

4.5 Sensor Fusion 83

4.5.1 Improving the Quality and Accuracy of a Sensor 83

4.5.2 Improving the Reliability of a Sensor 83

4.5.3 Improving the Capability of a Sensor 84

4.5.4 Measuring a Different Physical Quantity 84

4.6 Self-calibration 84

4.7 Sensors of the Future 85

4.8 Summary 85

References 86

Exercises 86

Advanced Exercises 87

5 IoT Wired Connectivity 89

5.1 Introduction 89

5.2 Ethernet 90

5.2.1 Power over Ethernet (PoE) 91

5.3 Ethernet TSN 92

5.3.1 Challenges of Connectivity for Industrial IoT 92

5.3.2 Ethernet TSN Features and Key Technologies 93

5.3.2.1 Time Synchronization 93

5.3.2.2 Bandwidth and QoS Reservation 94

5.3.2.3 Redundant Transmission 94

5.3.2.4 Traffic Shaping and Scheduling 94

5.3.2.5 Latency Minimization 95

5.3.3 A Simple Example 96

5.3.4 Ethernet TSN Substandards 97

5.4 Power Line Communications (PLCs) 98

5.4.1 PLC for Smart Grid 100

5.5 Summary 103

References 103

Exercises 104

Advanced Exercises 105

6 Unlicensed-band Wireless IoT 107

6.1 Introduction 107

6.2 Zigbee Wireless Network 108

6.3 BLE Wireless Network 111

6.3.1 Bluetooth 5 114

6.3.2 Bluetooth Mesh 115

6.4 WiFiWireless Network 115

6.4.1 WiFi 6 116

6.4.2 WiFi HaLow 117

6.5 LoRaWAN Wireless Wide Area Network 118

6.6 Summary 121

References 121

Exercises 122

Advanced Exercises 124

7 Cellular IoT Technologies 125

7.1 Introduction 125

7.2 EC-GSM-IoT 125

7.3 LTE-based Cellular IoT Technologies 127

7.3.1 LTE-M 127

7.3.1.1 Channel Bandwidth 127

7.3.1.2 Duplexing 128

7.3.1.3 Data Rate and Latency 129

7.3.1.4 Power Class 131

7.3.1.5 Coverage 132

7.3.1.6 Mobility 133

7.3.2 NB-IoT 133

7.3.2.1 Channel Bandwidth and Duplexing 134

7.3.2.2 Data Rate and Latency 134

7.3.2.3 Power Classes 135

7.3.2.4 Coverage 135

7.3.2.5 Mobility 135

7.4 Practical Use Cases 135

7.5 CIoT Frequency Bands 137

7.6 Certification 140

7.7 CIoT Modules 141

7.8 AT Commands 143

7.9 Summary 144

References 145

Exercises 146

Advanced Exercises 147

8 CIoT Features 151

8.1 Low-power Consumption Schemes 153

8.1.1 Introduction 153

8.1.2 Power Saving Techniques in 3GPP Release 13 153

8.1.3 Power Saving Techniques in 3GPP Release 14 158

8.1.4 Power Saving Techniques in 3GPP Release 15 158

8.1.4.1 Wake Up Signal 158

8.1.5 Power Consumption for Various Use Cases 159

8.1.6 Summary 162

References 163

Exercises 163

Advanced Exercises 164

8.2 Uplink Access 167

8.2.1 Introduction 167

8.2.2 Random Access Process 168

8.2.2.1 Random Access Dependency to the Coverage Level 170

8.2.2.2 Access Barring (AB) 170

8.2.2.3 Preamble Formats 171

8.2.3 RA Advancements 172

8.2.3.1 Early Data Transmission 173

8.2.3.2 Preconfigured Uplink Resources 173

8.2.4 Summary 174

References 175

Exercises 175

Advanced Exercises 176

8.3 Positioning 177

8.3.1 Introduction 177

8.3.2 LTE Positioning 178

8.3.2.1 CID 179

8.3.2.2 ECID 179

8.3.2.3 Observed Time Difference of Arrival (OTDOA) 180

8.3.2.3.1 Basic OTDOA Navigation Equations 181

8.3.2.3.2 Positioning Reference Signals (PRSs) 182

8.3.3 Positioning Architecture for LTE-IoT 183

8.3.4 RSTD Measurement Performance 184

8.3.5 PRS Signals 185

8.3.5.1 LTE PRS Signals 185

8.3.5.2 LTE-M PRS Signals 186

8.3.5.3 NB-IoT PRS Signals 186

8.3.6 RSTD Error Sources 187

8.3.7 Summary 188

References 188

Exercises 189

Advanced Exercises 189

8.4 Mobility 191

8.4.1 Introduction 191

8.4.2 Mobility 192

8.4.2.1 Cell Selection 192

8.4.2.2 Cell Reselection 192

8.4.2.3 Signal Measurements Used for Mobility 193

8.4.2.4 Idle Mode Versus Connected Mode Mobility 194

8.4.2.5 Mobility Architecture 195

8.4.2.6 Intra-Frequency vs. Inter-Frequency Mobility 196

8.4.2.7 General Idea about TAU Strategies 197

8.4.2.8 General Idea about Paging Strategies 198

8.4.2.9 TAU and Paging Optimization 198

8.4.2.10 Doppler Effect 198

8.4.3 NB-IoT Mobility 199

8.4.4 LTE-M Mobility 199

8.4.5 Summary 199

References 200

Exercises 201

Advanced Exercises 202

9 IoT Data Communication Protocols 203

9.1 Introduction 203

9.2 HyperText Transfer Protocol (HTTP) 204

9.3 Message Queue Telemetry Transport (MQTT) Protocol 206

9.3.1 MQTT Connections 208

9.3.2 Security of MQTT Protocol 209

9.3.3 MQTT Last Value Queue (LVQ) 210

9.3.4 MQTT LastWill and Testament (LWT) 211

9.4 Constrained Application Protocol (CoAP) 211

9.4.1 CoAP Messages 212

9.4.2 CoAP Observers 213

9.5 Other IoT Protocols 213

9.6 Summary 214

References 215

Exercises 215

Advanced Exercises 217

10 IoT in 5G Era 219

10.1 Introduction 219

10.2 5G Vision 220

10.3 5G's Main Application Areas 222

10.4 5G Implementations and Features 223

10.4.1 Standalone and non-standalone 5G Network 223

10.4.2 5G Network Slicing 223

10.4.3 Private 5G Network 225

10.4.4 Network Exposure 226

10.4.5 Fixed Wireless Access 226

10.5 Summary 227

References 228

Exercises 228

Advanced Exercises 229

11 IoT and Analytics 231

11.1 Introduction 231

11.2 Data Pipeline 233

11.3 AI 233

11.4 Machine Learning 234

11.5 Supervised Machine Learning Techniques 236

11.5.1 Classification 236

11.5.1.1 Decision Tree 236

11.5.1.2 Random Forest 241

11.5.1.3 K Nearest Neighbor (KNN) 243

11.5.1.4 Support Vector Machine (SVM) 244

11.5.2 Regression 246

11.6 Unsupervised Machine Learning Techniques 251

11.6.1 Clustering 251

11.6.1.1 K-Means 251

11.7 Deep Learning Techniques 253

11.7.1 Recurrent Neural Networks (RNN) 257

11.7.2 Convolutional Neural Network (CNN) 258

11.8 Summary 260

References 261

Exercises 261

Advanced Exercises 263

12 IoT Security and Privacy 267

12.1 Introduction 267

12.2 IoT Threats 267

12.2.1 Confidentiality 268

12.2.2 Integrity 268

12.2.3 Authentication 268

12.2.4 Non-Repudiation 269

12.2.5 Availability 269

12.3 IoT Vulnerabilities 269

12.3.1 Insufficient Authentication 269

12.3.2 Insecure Ports and Interfaces 270

12.3.3 Lack of a Secure Update Mechanism 270

12.3.4 Insufficient Encryption 270

12.3.5 Insecure Network Connectivity 270

12.3.6 Insecure Mobile Connection 271

12.3.7 Not Utilizing Whitelist 271

12.3.8 Insecure IoT Device Chip Manufacturing 271

12.3.9 Configuration Issues 271

12.3.10 Privacy Issues 272

12.4 IoT Threat Modeling and Risk 272

12.4.1 Threat Modeling for Smart Gas Station 272

12.4.1.1 Identifying the Assets 273

12.4.1.2 Identifying the Message Flow 273

12.4.1.3 Identifying the Threat Types 274

12.4.1.4 Rating Threats and Risk Calculations 275

12.5 IoT Security Regulations 276

12.6 IoT Privacy Concerns and Regulations 277

12.7 IoT Security and Privacy Examples 279

12.7.1 Threat Against Availability - Mirai Bonnet 279

12.7.2 Threat Against Integrity - LockState 279

12.7.3 Threat Against Software Update - Jeep 279

12.7.4 Threat Against Confidentiality - TRENDnetWebcam 280

12.7.5 Threat Against Availability and Integrity - St. Jude Medical's Implantable Cardiac Devices 280

12.7.6 Threat Against Availability - Cyberattack on the Ukrainian Smart Grid 280

12.7.7 Privacy Concern - DJI 280

12.8 Threat Protection Methods 281

12.8.1 Confidentiality Protection 281

12.8.1.1 Methods Based on Symmetric Key 281

12.8.1.2 Methods Based on Asymmetric Key 285

12.8.2 Integrity Protection 286

12.8.3 Authentication Protection 287

12.8.4 Non-Repudiation Protection 288

12.9 IoT and Blockchain 289

12.9.1 Blockchain Technology 290

12.9.2 A Practical Example of IoT and Blockchain for Smart Grid 292

12.10 Summary 293

References 294

Exercises 294

13 IoT Solution Developments 299

13.1 Introduction 299

13.2 IoT Solution Development Methodology 300

13.3 Further Details on IoT Solution Development 302

13.3.1 Business Case Document 302

13.3.2 Implementation Strategy 302

13.3.3 Detailed Design 303

13.3.4 Building, Configuration, and Testing (BCT) 304

13.3.5 Pilot Implementation 306

13.3.6 Regulation Acceptance 307

13.3.7 Deployment 307

13.3.8 Sustainment 307

13.3.9 Continuous Improvements 307

13.4 Change Management 307

13.5 Summary 308

Reference 309

Exercises 309

Advanced Exercises 310

Practical Assignments 313

Assignment #1: Connecting an IoT Device to the Cloud 313

Assignment #2: Building a Battery-Powered Vision-Based System 314

Assignment #3: Configuring an LTE-M module using AT Commands 315

Assignment #4: Connecting an IoT Device to an MQTT Broker 316

Assignment #5: Connecting an IoT Device to an IoT Gateway Using BLE 318

Assignment #6: Building an IoT-Based Home Automation System 319

Assignment #7: Designing a Smart Toy System 320

Assignment #8: Controlling a Smart Tank System Using LoRaWAN Technology 321

Assignment #9: Building IoT Systems Using Cisco Packet Tracer 323

Assignment #10: Building a Digital Twin in the Cloud 325

References 327

Appendix A Internet Protocol Security (IPSec) 329

Appendix B Transport Layer Security (TLS) 333

Appendix C Satellite IoT 337

Solutions 339

Chapter 1 339

Chapter 2 343

Chapter 3 346

Chapter 4 348

Chapter 5 352

Chapter 6 355

Chapter 7 357

Chapter 8 361

Chapter 9 367

Chapter 10 370

Chapter 11 371

Chapter 12 376

Chapter 13 381

Abbreviations 385

Index 395
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Iot; iot textbook; iot basics; iot introduction; introduction to iot; iot technologies; iot fundamentals; iot foundations; iot networks; cloud iot; iot cloud; iot edge gateways; wired iot; wireless iot; iot examples; iot problems; iot architecture