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• Cover
• Half Title
• Title
• Copyright
• Contents
• Preface
• About Our Authors
• Chapter 1 Fundamentals of the Internet of Things
• 1.1 Introduction and Background of the Internet of Things
• 1.1.1 Need for IoT
• 1.1.2 Is IoT the Future?
• 1.1.3 What Is IoT, and How Does It Work?
• 1.1.4 History of IoT
• 1.1.5 About Things in IoT
• 1.1.6 About the Internet in IoT
• 1.2 Characteristics of IoT
• 1.3 IoT Architectures
• 1.3.1 Functional Building Blocks of IoT
• 1.3.2 Physical Design of IoT
• 1.3.3 Logical Design of IoT
• 1.4 Communication Models and APIs
• 1.4.1 Request-Response Communication Model
• 1.4.2 Publish-Subscribe Communication Model
• 1.4.3 Push-Pull Communication Model
• 1.4.4 Exclusive Pair Communication Model
• 1.5 Enabling Technologies in IoT
• 1.5.1 The Identifiers in IoT
• 1.5.2 IoT Frameworks and Its Design Ethics
• 1.6 Toward the Internet of Things Applications
• 1.6.1 Strategic Research and Innovation Directions
• 1.6.2 IoT Smart X Applications
• 1.7 Challenges and Open Research Issues in IoT
• 1.7.1 Security and Privacy Issues in IoT
• 1.7.2 Tackling Jamming Attacks in IoT
• 1.7.3 Encryption
• 1.7.4 Privacy Challenges and Their Solutions in IoT
• 1.7.5 Design and Development Challenges
• 1.7.6 Securing IoT Using Blockchain Technology
• References
• Chapter 2 Things in the Internet of Things
• 2.1 Sensors and Actuators in IoT
• 2.1.1 Case Studies: RFID Principles, Components, and Applications
• 2.2 Pillars of Embedded IoT and Physical Devices
• 2.2.1 Machine-to-Machine
• 2.2.2 IoT and M2M
• 2.2.3 Software-Defined Networking
• 2.2.4 Wireless Sensor Networks
• 2.2.5 SCADA
• 2.3 Wireless Sensor Networks
• 2.3.1 History and Context
• 2.3.2 Connecting Nodes
• 2.3.3 Networking Nodes
• 2.3.4 WSN and IoT
• 2.4 Two Pillars of the Web: Web of Things and Cloud of Things
• 2.4.1 Web of Things versus Internet of Things
• 2.4.2 Architecture Standardization for WoT
• 2.4.3 Platform Middleware for WoT
• 2.4.4 Unified Multitier WoT Architecture
• 2.4.5 WoT Portals and Business Intelligence
• 2.5 Multimedia Internet of Things
• 2.6 Internet of Mobile Things
• 2.7 Internet of Ships
• 2.8 Internet of Hybrid Energy Harvesting Things
• 2.8.1 Concepts
• 2.8.2 Comparison of Existing Energy Harvesting Techniques
• 2.8.3 Existing Energy Harvesting Techniques
• 2.8.4 Hybrid Energy Harvesting
• References
• Chapter 3 Wireless Protocols and Technologies for the Internet of Things
• 3.1 WPAN Technologies for IoT
• 3.1.1 IEEE 802.15.4
• 3.1.2 Zigbee
• 3.1.3 HART
• 3.1.4 NFC
• 3.1.5 Z-Wave
• 3.1.6 Bluetooth/BLE (Bluetooth Low Energy)
• 3.1.7 BACnet
• 3.1.8 Modbus
• 3.1.9 Li-Fi
• 3.1.10 Wi-Fi
• 3.2 IP-Based Networking Protocols for IoT
• 3.2.1 Overview of Networking
• 3.2.2 TCP/IP (IPv6)
• 3.2.3 6LoWPAN
• 3.2.4 RPL
• 3.2.5 REST
• 3.2.6 AMQP
• 3.2.7 XMPP
• 3.2.8 CoAP
• 3.2.9 MQTT
• 3.2.10 LoRa
• 3.3 Network and Communication Aspect
• 3.3.1 Wireless Medium Access Issues
• 3.3.2 MAC Protocol Survey
• 3.3.3 Survey of Routing Protocols
• 3.3.4 Sensor Deployment and Node Discovery
• 3.3.5 Data Aggregation and Dissemination
• References
• Chapter 4 Data Handling and Analytics
• 4.1 Introduction to Big Data
• 4.1.1 Why Big Data?
• 4.1.2 Big Data Examples
• 4.1.3 Types of Data
• 4.2 Big Data Architecture
• 4.3 Characteristics of Big Data
• 4.4 Big Data Challenges
• 4.5 Big Data Technologies Stack
• 4.6 Advantages of Big Data Analytics
• 4.7 Relationship between Big Data and the Internet of Things
• 4.8 Applications of Big Data
• 4.8.1 Applications of Big Data and IoT in Different Industries
• 4.8.2 Big Data Companies: Top Companies Using Big Data
• 4.9 IoT and Big Data Use Cases
• 4.10 Data Handling Technologies
• 4.10.1 Flow of Data
• 4.10.2 Data Acquisition
• 4.10.3 Data Storage
• 4.10.4 Introduction to Hadoop
• 4.11 Introduction to Data Analytics
• 4.11.1 Types of Data Analytics
• 4.11.2 Statistical Models
• 4.11.3 Analysis of Variance
• 4.11.4 Data Dispersion
• 4.11.5 Contingence and Correlation
• 4.11.6 Regression Analysis
• 4.11.7 Precision and Error Limits
• 4.12 Challenges in IoT with Big Data Analytics
• References
• Chapter 5 Roles of Cloud Computing, Fog Computing, and Edge Computing
• 5.1 Cloud Analytics for IoT Applications
• 5.1.1 Introduction to Cloud Computing
• 5.1.2 Differences between Cloud Computing and Fog Computing
• 5.1.3 The Next Evolution of Cloud Computing
• 5.1.4 The Role of Cloud Computing in IoT
• 5.1.5 Connecting IoT to the Cloud
• 5.1.6 Challenges in the Integration of IoT with Cloud
• 5.2 Cloud of Things
• 5.2.1 Grid/SOA and Cloud Computing
• 5.2.2 Cloud Middleware
• 5.2.3 Cloud Standards: Cloud Providers and Systems
• 5.2.4 Mobile Cloud Computing (MCC)
• 5.2.5 The Cloud of Things Architecture
• 5.3 Fog Computing
• 5.3.1 When to Use Fog Computing
• 5.3.2 Advantages and Limitations of Fog Computing
• 5.3.3 Need for Fog Computing
• 5.3.4 Fog Computing Architecture
• 5.3.5 Working of Fog Computing
• 5.3.6 Layered Fog Computing Architecture
• 5.4 Edge Computing
• 5.4.1 What Is Edge Computing?
• 5.4.2 What Is the Need for Edge Computing?
• 5.4.3 Challenges in Edge Computing
• 5.4.4 Why Edge Computing?
• 5.4.5 Applications of Edge Computing
• 5.4.6 Benefits and Limitations of Edge Computing
• 5.4.7 Edge Computing vs. Cloud Computing
• 5.4.8 Potential Industries Using Edge Computing
• 5.4.9 Challenges of Edge Computing
• 5.5 Data Analysis Options: Edge, Cloud, or Combination?
• References
• Chapter 6 Internet of Things in the Era of 5G
• 6.1 5G
• 6.1.1 What Is 5G?
• 6.1.2 What Will 5G Enable?
• 6.1.3 What Is 5G IoT?
• 6.1.4 Mobile IoT Systems are Paving the Way for 5G
• 6.1.5 Current Applications of 5G IoT
• 6.1.6 Future 5G Use Cases
• 6.2 Industrial Internet of Things
• 6.2.1 What Is the Industrial Internet of Things?
• 6.2.2 Basic IIoT Concepts and Glossary of Terms
• 6.2.3 Industry 4.0: Sub-Components
• 6.2.4 Who Is Industry 4.0 Right for?
• 6.2.5 Benefits of Adopting an Industry 4.0 Model
• 6.2.6 IIoT Stack and 5G
• 6.3 What Is NB-IoT?
• 6.3.1 Features of NB-IoT
• 6.3.2 NB-IoT Frequency Spectrum
• 6.3.3 What Are the Advantages and Applications of Using NB-IoT?
• 6.3.4 How Does NB-IoT Differ from Sigfox and LoRa?
• References
• Chapter 7 The Role of Blockchain Technology in the Internet of Things
• 7.1 Blockchain Technology in IoT
• 7.1.1 Introduction to Blockchain
• 7.1.2 Who Uses Blockchain?
• 7.1.3 The Need for Blockchain
• 7.1.4 Challenges of Integrating Blockchain Technology with IoT
• 7.2 Key Characteristics of Blockchain
• 7.3 Benefits of Combining Blockchain and IoT
• 7.4 How Blockchain Transactions Work
• 7.5 How to Secure IoT with Blockchain
• 7.6 How to Secure IoT with Blockchain: The Problem of Centralization
• 7.7 How It Looks for Architecture-Minded People
• 7.8 Is Blockchain the Solution to IoT Security?
• 7.9 Blockchain IoT Use Cases
• 7.10 The Future of Botnets in the Internet of Things
• 7.10.1 Thingbots: Concept
• 7.10.2 Elements of Typical IRC Bot Attack
• 7.10.3 Malicious Use of Bots and Botnet
• References
• Chapter 8 A Practical Approach to Development of the Internet of Things
• 8.1 Python
• 8.1.1 Introduction to Python
• 8.1.2 Why Use Python in IoT?
• 8.1.3 Python: Getting Started
• 8.1.4 Downloading and Installing Python
• 8.1.5 File Handling
• 8.2 Embedded Suites for IoT
• 8.2.1 Development Boards
• 8.2.2 Introduction to Arduino, Raspberry Pi, and Their Components
• 8.2.3 Recognizing the Input/Output
• 8.3 Open Service Platforms for IoT Cloud Computing
• 8.4 Resource Management Techniques for Cloud‑Based IoT Environments
• 8.5 Data Management for IoT
• 8.6 ThingSpeak for IoT
• References
• Chapter 9 The Internet of Things for Healthcare
• 9.1 IoT as a Key in the Digital Healthcare System
• 9.2 How IoT Helps in Healthcare Processes
• 9.3 Applications of IoT Technology in Healthcare
• 9.3.1 Remote Patient Monitoring
• 9.3.2 Smart Healthcare Systems
• 9.3.3 Telemedicine
• 9.3.4 Drug Development
• 9.3.5 Medical Robots
• 9.4 Healthcare IoT Challenges, Security Issues, and Risks
• 9.5 Wireless Body Area Network (WBAN)
• 9.6 WBAN Architecture
• 9.7 What Makes Wearables So Sexy?
• 9.8 What Are the Weaknesses of WBAN and Wearables?
• 9.9 WBAN Applications
• References
• Index