Internet of Things Applications and Technology

✍ Scribed by Faheem Syeed Masoodi (editor), Alwi Bamhdi (editor), Ankush Manocha (editor), Tawseef Ahmed Teli (editor), Zubair Sayeed Masoodi (editor), Faheem Ahmad Reegu (editor)

• Publisher: Auerbach Publications
• Year: 2024
• Tongue: English
• Leaves: 275
• Edition: 1
• Category: Library

✦ Synopsis

The book provides a comprehensive examination of the integration of IoT technology into various industries and its impact on daily life, with a focus on the most recent advancements in the field. The technical aspects of IoT are thoroughly discussed, including the implementation of cutting-edge sensors, data communication protocols, and network topologies. The book also covers the latest advancements in areas such as edge computing, 5G networks, and AI-powered IoT devices. Emphasis is placed on the examination of IoT in real-world applications, including healthcare, agriculture, transportation, and home automation. Other highlights of the book include:

• IoT-based systems for monitoring air and water quality
• Wearable devices for continuous monitoring of vital signs and other health metrics
• IoT-based systems for monitoring and optimizing crop growth and yields
• Connected vehicles for improved safety, efficiency, and traffic management
• Monitoring of goods and resources in transit to optimize delivery times

With case studies and real-world examples, readers gain a comprehensive understanding of how IoT is revolutionizing various industries and enhancing daily life. This book is a comprehensive guide to the exciting world of IoT and its practical application.

✦ Table of Contents

Cover
Half Title
Title Page
Copyright Page
Contents
Contributors
Chapter 1. An Overview of Internet of Things (IoT)
1.1 Introduction
1.2 IoT History
1.3 Objectives of IoT
1.4 IoT Software and Hardware
1.4.1 IoT Software
1.4.2 IoT Hardware
1.5 Applications of IoT
1.6 IoT Architecture
1.6.1 Three-Layer and Five-Layer Architecture
1.6.2 Cloud-Based Architecture
1.6.3 Fog-Based Structure
1.6.4 SoA-Based Architecture
1.7 Privacy vs Security in IoT
1.8 Conclusion
References
Chapter 2. IoT Architecture, Applications, Security and Privacy Issues
2.1 Introduction
2.2 IoT Architecture
2.3 Security and Privacy in IoT
2.4 Security Issues
2.5 IoT Applications and Need for Security
2.6 Security and Privacy Challenges in IoT
2.7 Conclusion
References
Chapter 3. Current Trends in IoT Data Management: An Investigative Study
3.1 Introduction
3.1.1 Components of IoT
3.1.2 Applications of IoT
3.1.3 Data Management
3.1.4 Components of Data Management
3.1.5 Applications
3.1.6 IoT Data Collection and Storage
3.1.7 Data Collection
3.1.8 Data Storage
3.2 Stream Processing in IoT Data Management
3.3 Security and Privacy in IoT Data Management
3.3.1 Security in IoT Data Management
3.3.2 Types of IoT Device Security
3.3.3 Privacy in IoT Data Management
3.4 Data Visualization and Reporting
3.4.1 Data Visualization
3.4.2 Data Reporting
3.5 IoT Data Monetization and Business Models
3.5.1 Monetization and Business Models in IoT Data Management
3.6 Future Trends and Case Studies in IoT Data Management
3.6.1 Future Trends in IoT Data Management
3.7 Case Studies in IoT Data Management
3.7.1 Precision Agriculture and Crop Management IoT Data Management
3.8 Conclusion
References
Chapter 4. A Study on the Impact of Internet of Things Development and Future Spectrum
4.1 Introduction
4.1.1 Future-Specific Applications and Examples of IoT
4.2 IoT Standards and Framework
4.2.1 6LoWPAN
4.2.2 Zigbee
4.2.3 OneM2M
4.3 IoT Architecture
4.3.1 Perception Layer
4.3.2 Transport Layer
4.3.3 4G LTE/5G Wi-Fi Bluetooth LPWAN
4.3.4 Processing Layer
4.3.5 Business Layer
4.4 Future Advancements
4.5 Conclusion
References
Chapter 5. Revolutionizing Retail: IoT Applications for Enhanced Customer Experience
5.1 Introduction
5.2 Introduction to the Retail Industry
5.3 Overview of IoT
5.4 Overview of the Importance of Customer Experience in the Retail Industry
5.5 Role of IoT in Transforming and Personalizing Customer Experiences
5.6 Understanding Customer Expectations in the Digital Age
5.7 The Demand for Personalized and Seamless Shopping Experiences
5.8 Understanding How Personalization Pays Off
5.9 IoT-enabled Personalization and Customization
5.10 Leveraging IoT Data for Personalized Product Recommendations
5.11 Personalized Shopping Experience
5.12 Importance of Personalized Shopping Experience
5.13 Examples of Personalized Customer Experience
5.14 Smart Retail Environments
5.15 Smart Shelves and Digital Signage for Interactive and Engaging Displays
5.15.1 Smart Shelves
5.15.2 Digital Signage
5.16 Some of the Benefits of Smart Shelves and Digital Signage
5.17 Real Time Inventory Management System and Product Availability
5.18 Conclusion
References
Chapter 6. Healthier Horizons: Exploring IoT's Impact on Education and Well-Being
6.1 Introduction
6.2 Literature Review
6.3 The Use of IoT Devices in Early Childhood Education
6.4 The Use of IoT Devices in Higher Education
6.4.1 Smart Classrooms
6.4.2 Wearable Devices
6.4.3 Smart Campus
6.5 The Impact of IoT Technology on Education in 2023
6.5.1 Increased Adoption of IoT Devices in Education
6.5.2 Enhanced Personalization of Learning Experiences
6.5.3 Improved Data-Driven Decision Making
6.5.4 Increased Collaboration and Communication
6.5.5 Enhanced Innovation and Creativity
6.6 The Role of IoT in Education
6.6.1 Students
6.6.2 Educators
6.6.3 Policymakers
6.6.4 Researchers
6.7 Impact on Academic Outcomes
6.8 Personalized Learning Experiences
6.9 Real-Time Data Analysis
6.10 Conclusion
References
Chapter 7. Integration of Unmanned Aerial Vehicles (UAVs) and IoT for Crop Monitoring and Spraying
7.1 Introduction
7.1.1 Overview of the Integration of UAVs and IoT in Agriculture
7.1.2 Importance of Crop Monitoring and Spraying in Modern Agriculture
7.1.2.1 Early Detection of Crop Issues
7.1.2.2 Precision Farming and Resource Optimization
7.1.2.3 Improved Pest and Disease Management
7.1.2.4 Optimized Crop Nutrition
7.1.2.5 Environmental Sustainability
7.1.3 Limitations and Usefulness of Using UAVs and IoT for Crop Management
7.2 Literature Review
7.3 Unmanned Aerial Vehicles (UAVs) in Agriculture
7.3.1 Crop Monitoring and Assessment
7.3.2 Precision Agriculture
7.3.3 Crop Mapping and Inventory
7.3.4 Irrigation Management
7.3.5 Crop Spraying and Pest Management
7.3.6 Environmental Monitoring
7.3.7 Risk Assessment and Insurance
7.3.8 Safety and Efficiency
7.4 Internet of Things (IoT) in Agriculture
7.4.1 Precision Agriculture
7.4.2 Smart Irrigation
7.4.3 Livestock Monitoring
7.4.4 Crop Health Monitoring
7.4.5 Weather Monitoring and Forecasting
7.5 Crop Monitoring with UAVs and IoT
7.5.1 Aerial Imaging and Sensing
7.5.2 Real-Time Monitoring
7.5.3 Spatial and Temporal Crop Variability
7.5.4 Early Detection of Crop Issues
7.5.5 Integration with Other Agricultural Technologies
7.6 Crop Spraying with UAVs and IoT
7.6.1 Precision Application
7.6.2 Site-Specific Treatment
7.6.3 Reduced Environmental Impact
7.6.4 Safety and Accessibility
7.6.5 Scalability and Adaptability
7.7 Communication and Data Management in UAV-IoT Integration
7.7.1 Wireless Connectivity
7.7.2 Sensor Data Acquisition
7.7.3 Cloud-Based Data Storage
7.7.4 Instantaneous Information
7.7.5 Integration with Visualization Tools
7.8 Systems That Support Decisions Using Studying Data
7.8.1 Data Preprocessing
7.8.2 Parametric Analytics
7.8.3 Prediction Analytics
7.8.4 Prescriptive Analytics
7.8.5 Decision Support Systems
7.8.6 Optimization and Resource Allocation
7.8.7 Real-Time Monitoring and Alerts
7.8.8 Continuous Improvement and Adaptation
7.9 Case Studies
7.9.1 Case Study 1
7.9.2 Case Study 2
7.9.3 Case Study 3
7.10 Challenges and Future Directions
7.10.1 Regulatory and Legal Considerations for UAVs in Agriculture
7.10.1.1 Drone Regulations
7.10.1.2 Privacy and Data Protection
7.10.1.3 Liability and Insurance
7.10.2 Security and Privacy Concerns in UAV-IoT Systems
7.10.2.1 Cybersecurity
7.10.2.2 Data Privacy
7.10.2.3 System Integrity
7.10.3 Emerging Technologies and Future Trends in UAV-Based Crop Monitoring and Spraying
7.10.3.1 Advanced Sensors and Imaging
7.10.3.2 AI and ML
7.10.3.3 Autonomous UAVs
7.10.3.4 Integration with Agricultural Management Systems
7.10.3.5 Regulatory Frameworks and Standards
7.11 Conclusion
7.11.1 Recap of Key Findings and Contributions
7.11.2 Summary of the Potential of UAVs and IoT for Irrigation and Harvest Surveillance
7.11.3 Future Prospects and Recommendations for Further Research and Development
7.11.3.1 Standardization and Regulatory Frameworks
7.11.3.2 Advanced Sensing Technologies
7.11.3.3 Automation and Autonomy
7.11.3.4 Data Analytics and AI
7.11.3.5 Integration with Existing Agricultural Systems
7.11.3.6 Environmental Impact Assessment
References
Chapter 8. Health-Tracking System through the Application of IoT
8.1 Introduction
8.2 Literature Survey
8.3 Proposed Work
8.3.1 Smart Watch
8.4 Smartphone
8.5 Thing Speak
8.6 IFTTT
8.7 Results
8.8 Conclusion
References
Chapter 9. IoT-Enabled Financial Inclusion: Challenges, Opportunities, and Policy Implications
9.1 Introduction
9.2 Background and Significance of IoT-Enabled Financial Inclusion
9.3 Research Objectives and Scope
9.4 Conceptual Framework
9.5 Relevance to Financial Inclusion
9.6 Challenges of IoT-Enabled Financial Inclusion
9.7 Opportunities for IoT-Enabled Financial Inclusion
9.8 Successful Implementations of IoT-Enabled Financial Inclusion Initiatives
9.9 Policy Implications and Regulatory Considerations
9.10 Future Directions and Research Agenda
9.11 Conclusion
References
Chapter 10. Enhancing the Security of Pregnancy Health Data Transmission through Homomorphic Encryption: An Advanced Model
10.1 Introduction
10.2 Related Work
10.2.1 Systematic Review
10.3 Methods and Materials
10.3.1 Homomorphic Encryption
10.3.2 Homomorphic Encryption in Data Security
10.3.3 Homomorphic Encryption in Data Transmission
10.4 Our Proposed Model
10.5 Activity Diagram
10.6 Conclusion
References
Chapter 11. E-Health Data Acquisition System for Detection and Prevention of Cardiac Diseases Utilizing IoT
11.1 Introduction
11.1.1 Importance of IoT in Healthcare
11.2 Literature Review
11.2.1 Wireless Health Supervision Apparatus
11.2.2 Bio Signal Sensor
11.2.3 Electro Cardiogram (ECG)
11.3 Methodology
11.3.1 Context
11.3.2 Bio Monitoring Electrodes, Sensors and Components
11.4 Hardware Requirements
11.4.1 Raspberry Pi3 Model
11.4.2 Oscillating System
11.4.3 Pulse Sensor
11.4.4 Micro Electro Mechanical System (MEMs)
11.4.5 ZIGBEE Technology
11.4.6 Alternative Main Processing Devices
11.4.6.1 Arduino
11.4.6.2 Intel Edison
11.4.6.3 Raspberry Pi
11.5 Result and Discussion
11.6 Conclusion and Future Scope
References
Chapter 12. Challenges of Image Processing-Based Applications in the Analytics of Internet of Things
12.1 Introduction
12.2 Challenges of Image Processing-Based Applications in Internet of Things (IoT) Analytic
12.2.1 Heterogeneity
12.2.2 Varying Quality
12.2.3 Real-Time Nature
12.2.4 Time and Location
12.2.5 Privacy and Security
12.2.6 Bias
12.3 Conclusion
References
Chapter 13. Internet of Things for Smart Agricultural Practices
13.1 Introduction
13.1.1 The Contribution of the Chapter
13.1.2 The Chapter Organization
13.2 IoT Sensors and Devices for Smart Agriculture
13.2.1 Soil Monitoring
13.2.1.1 Soil Moisture Sensors
13.2.1.2 Soil pH Sensors
13.2.1.3 Soil Temperature Sensors
13.2.2 Crop Monitoring
13.2.2.1 Crop Health Sensors
13.2.2.2 Nutrient Level Sensors
13.2.2.3 Weather Sensors
13.2.3 Livestock Monitoring
13.2.3.1 Animal Tracking Devices
13.2.3.2 Health Monitoring Sensors
13.2.3.3 Feed Monitoring Systems
13.3 Data Collection and Data Analysis
13.3.1 Data-Gathering Techniques
13.3.1.1 Wireless Sensor Networks
13.3.1.2 Remote Sensing Technologies
13.3.2 Data Analytics and Processing
13.3.2.1 Cloud Computing
13.3.2.2 Edge Computing
13.3.3 Predictive Analytics and Decision Support Systems
13.3.3.1 Machine Learning Algorithms
13.3.3.2 Artificial Intelligence Applications
13.4 Automation and Control Systems
13.4.1 Smart Irrigation
13.4.1.1 Automated Irrigation Systems
13.4.1.2 Water Management and Optimization
13.4.2 Precision Farming
13.4.2.1 Variable Rate Technologies
13.4.2.2 Autonomous Farming Equipment
13.4.3 Livestock Management
13.4.3.1 Automated Feeding Systems
13.4.3.2 Climate Control and Monitoring
13.5 Connectivity and Communication
13.5.1 Wireless Communication Technologies
13.5.1.1 Wi-Fi
13.5.1.2 Cellular Networks (5G and Beyond)
13.5.1.3 LPWAN (Low-Power Wide-Area Networks)
13.5.2 Data Security and Privacy Considerations
13.5.2.1 Encryption and Authentication
13.5.2.2 Data Ownership and Access Control
13.6 Selected Case Studies
13.6.1 Smart Irrigation System with IoT Sensors
13.6.2 Livestock Monitoring with Wearable IoT Devices
13.6.3 Crop Monitoring and Pest Management with IoT and AI
13.6.4 Smart Greenhouses with IoT Automation
13.7 Future Trends and Challenges
13.7.1 Integration with Emerging Technologies
13.7.2 Edge Computing and Edge Analytics
13.7.3 Sustainable and Regenerative Practices
13.7.4 Data Interoperability and Standardization
13.7.5 Data Privacy and Security
13.7.6 Digital Divide and Accessibility
13.8 Lessons Learnt and Conclusion
References
Chapter 14. Smart IoT-Based Air Quality Monitoring System
14.1 Introduction
14.2 Literature Survey
14.3 Methodology
14.3.1 Input
14.3.2 Smart Citizen Kit
14.3.2.1 Sensor Data
14.3.2.2 Data Board
14.3.3 Smart Citizen Website
14.3.4 Curve Fitting
14.3.5 Prediction of Gas
14.4 Results and Discussion
14.4.1 Sensing the Air Quality
14.4.2 Posting Data to the Website
14.4.3 Uploading and Downloading Data
14.4.4 Prediction Using Linear Regression
14.4.5 Importing the Libraries and Read Independent Variable
14.4.6 Visualizing and Fitting Linear Regression
14.4.7 Predicting the Gas Level
14.4.8 Input
14.4.9 Sending Data to Website
14.4.10 Prediction of Gas Using Linear Regression
14.5 Conclusion
References
Chapter 15. Smart Shoes for Vision Disabled
15.1 Introduction
15.2 Smart Devices and Their Use in Our Project
15.2.1 Devices Required
15.2.2 Arduino (UNO, NANO) Arduino Uno
15.2.3 General Functions of the Pins Used
15.2.4 Special Pin Functions
15.2.5 Specialized Functions of the Pins
15.2.6 Arduino Nano
15.2.7 Ultrasonic Sensor
15.2.8 Ultrasonic "Waves"
15.2.9 To Interface an Ultrasonic Sensor
15.2.10 Fire Detection Sensor
15.2.11 Vibration Sensor
15.2.12 Tracker
15.2.13 Battery
15.3 About the Model
15.4 Results and Analysis
15.5 Conclusion
Index