Convergence of IoT, Blockchain, and Computational Intelligence in Smart Cities

Convergence of IoT, Blockchain, and Computational Intelligence in Smart Cities

This edited book presents an insight for modelling, procuring, and building the smart city plan using IoT and a security framework using blockchain technology. The applications of Li-Fi and 5G in smart cities are included along with their implementation, challenges, and advantages.

Detalles Bibliográficos
Otros Autores: Rajendra Kumar, editor (editor)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Abingdon, England : CRC Press [2024]
Edición:First edition
Colección:Computational mathematics and analysis series.
Materias:
Big data.
Cloud computing.
Internet of things.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009809018606719
Tabla de Contenidos:
  • Cover
  • Half Title
  • Series Page
  • Title Page
  • Copyright Page
  • Contents
  • List of Figures and Tables
  • Contributors
  • Preface
  • Acknowledgements
  • Chapter 1: 5G Intelligent Transportation Systems for Smart Cities
  • 1.1. Introduction
  • 1.2. Intelligent Transportation System
  • 1.2.1. Types of Intelligent Transportation Systems
  • 1.3. Data Analytics on Vehicle Connections
  • 1.4. Evolution and History
  • 1.5. How Linked Vehicles Function
  • 1.6. Smart Car
  • 1.7. Fundamental Autonomous Vehicle Technology
  • 1.8. The Intelligent Driver Model and Approach
  • 1.9. Vehicles Connectivity and Networking
  • 1.10. Enabling and Facilitating Technologies
  • 1.10.1. Environmental State
  • 1.10.2. Tracking Lane
  • 1.10.3. Identifying and Detecting Traffic Signals
  • 1.10.4. Cars Detection
  • 1.10.5. Adaptive Cruise Monitor and Control
  • 1.11. Modulation System for Intelligent Cars
  • 1.12. Spatial Modulation (SM) Advantages and Downsides
  • 1.13. The Development of Industry Revolution 5.0
  • 1.14. Significant Technologies in Intelligent Transportation Systems
  • 1.15. Smart Transportation Structures and Architectures
  • 1.16. Applications for Intelligent Transportation
  • 1.17. Conclusions
  • References
  • Chapter 2: IoT Smart Environment: A Comprehensive Study on Challenges and Solutions
  • 2.1. Introduction
  • 2.2. IoT Challenges
  • 2.3. IoT Characteristics
  • 2.4. IoT Process Management
  • 2.5. IoT Challenges and its Solutions
  • 2.5.1. Analytics of Edge Computing
  • 2.5.2. IoT Security Issues
  • 2.5.3. Industrial IoT Challenges
  • 2.5.4. IoT Cloud Computing Platforms
  • 2.5.5. ML/AI-Based IoT Applications
  • 2.5.6. IoT in Sustainability and Climate Change
  • 2.5.7. IoT with Blockchain
  • 2.5.8. Services of Cloud and Edge Computing in IoT
  • 2.5.9. IoT Devices - Sensors Increasingly Becoming Commodity.
  • 2.5.10. LPWAN and 5G Technologies for IoT
  • 2.6. IoT Future Trends
  • 2.7. Conclusion
  • References
  • Chapter 3: Enabling Technologies for Internet of Things (IoT)-Based Smart Cities
  • 3.1. Introduction
  • 3.2. Overview of IoT Architecture
  • 3.3. Enabling Technologies
  • 3.3.1. Things Layer
  • 3.3.2. Connectivity Layer
  • 3.3.3. The Global Infrastructure Layer
  • 3.3.4. Data Ingestion Layer
  • 3.3.5. Data Analysis
  • 3.3.6. Application Layer
  • 3.3.7. People and Process Layer
  • 3.4. Conclusion
  • References
  • Chapter 4: Reshape the Sustainable State-of-the-Art Development of Smart Cities
  • 4.1. Introduction
  • 4.1.1. Concept of Smart City Model
  • 4.1.2. Sustainability a Strategic Plan of Smart Cities
  • 4.1.3. Technology-Based Smart City
  • 4.1.4. Sustainable Transport for Smart Cities
  • 4.1.5. Sustainable Smart Learning
  • 4.1.6. Smart Fitness
  • 4.1.7. Smart Ecosystem
  • 4.1.8. Smart Live-Style
  • 4.1.9. Smart Finance
  • 4.1.10. Smart Governance
  • 4.2. Conclusion
  • References
  • Chapter 5: Emergence of Big Data and Blockchain Technology in Smart City
  • 5.1. Introduction
  • 5.2. Literature Survey
  • 5.3. Smart City
  • 5.4. Emerging Features of Smart Cities
  • 5.4.1. Big Data
  • 5.4.2. Artificial Intelligence
  • 5.4.3. FinTech
  • 5.4.4. e-Governance
  • 5.4.5. 5G/6G-Based Communication Backbone
  • 5.4.6. Cloud Computing
  • 5.4.7. e-Healthcare
  • 5.5. Security Challenges in Smart City
  • 5.6. Safety Challenges Tackled by Blockchain over Big Data
  • 5.7. Analysis of Blockchain Implementation with Big Data
  • 5.8. Way Forward
  • 5.9. Conclusion
  • References
  • Chapter 6: Comprehensive Review: Recent Advancements and Applications of Cyber-Physical Systems for IoT Devices
  • 6.1. Introduction
  • 6.2. Related Work
  • 6.3. Cyber-Physical System and IoT
  • 6.3.1. Physical Components of CPS
  • 6.3.2. Architecture of Cyber-Physical System.
  • 6.3.3. Impacts Regarding CPS Security in IoT Devices
  • 6.4. Cybersecurity Issues and Research Gaps
  • 6.5. Cyber-Physical Security Threats
  • 6.5.1. Classification of CPS Security Threats
  • 6.6. Cyber-Physical System Security Solutions
  • 6.7. Conclusion
  • References
  • Chapter 7: Deep Learning-Based Autonomous Driving and Cloud Traffic Management System for Smart City
  • 7.1. Introduction
  • 7.2. Related Work
  • 7.3. System Architecture: Autonomous Driving
  • 7.3.1. Components
  • 7.3.2. Sense
  • 7.3.3. Learn
  • 7.3.4. Act
  • 7.4. System Architecture: Cloud Traffic Management
  • 7.4.1. Cloud-Based Vehicle and Traffic Control System
  • 7.4.2. Local Traffic Management System
  • 7.4.3. Global Traffic Monitoring System
  • 7.5. Workflow
  • 7.6. Result
  • 7.7. Conclusion
  • References
  • Chapter 8: Security and Privacy Challenges in IoT System Resolving Using Blockchain Technology
  • 8.1. Introduction
  • 8.1.1. Internet of Things (IoT)
  • 8.1.2. Features of IoT
  • 8.2. Applications of IoT
  • 8.2.1. IoT and Healthcare
  • 8.2.2. IoT in Industry
  • 8.2.3. Education
  • 8.2.4. e-Governance
  • 8.3. Cyber-Attacks on IoT Infrastructure
  • 8.3.1. Attacks on IoT Software
  • 8.3.2. Attacks on IoT Hardware
  • 8.3.3. Types of Attacks on IoT Infrastructure
  • 8.4. Solutions with Blockchain Technology
  • 8.4.1. Blockchain Technology
  • 8.4.2. Basic Architecture of Blockchain
  • 8.4.3. Blockchain in IoT Infrastructure
  • 8.4.4. The Traditional Architecture of Smart City
  • 8.5. Conclusion
  • References
  • Chapter 9: Secure Blockchain-Based E-voting System for Smart Governance
  • 9.1. Introduction
  • 9.2. Blockchain for E-voting
  • 9.2.1. Blockchain Structure
  • 9.2.2. Advantages of Using Blockchain in Electronic Voting
  • 9.2.3. Components of the E-voting System
  • 9.3. Related Work
  • 9.4. Proposed E-voting System Based on Smart Contracts.
  • 9.4.1. Concept behind Voting System Using Smart Contracts
  • 9.4.2. Software and Tool Requirements
  • 9.5. Proposed E-voting System Based on Consensus Algorithms
  • 9.6. Implementation and Results
  • 9.6.1. Vote Casting
  • 9.6.2. After Vote Casting
  • 9.7. Conclusions
  • References
  • Chapter 10: Design of Intelligent Healthcare Information System Using Data Analytics
  • 10.1. Introduction
  • 10.2. Work of Descriptive Analytics in Healthcare Systems
  • 10.3. Work of Diagnostics Analytics in Healthcare System
  • 10.3.1. Work of Drill-Down
  • 10.3.2. Work of Data Discovery
  • 10.3.3. Work of Data Mining
  • 10.4. Work of Predictive Analytics in the Healthcare System
  • 10.5. Work of Prescriptive Analytics in the Healthcare System
  • 10.6. Data Collection in the Healthcare System
  • 10.7. Data Extraction in the Healthcare System
  • 10.8. Data Generation in the Healthcare System
  • 10.9. Analysis of the Healthcare System
  • 10.10. Visualization and Reporting in the Healthcare System
  • 10.11. Problems, Challenges, Barriers, and Issues in the Healthcare System
  • 10.12. Managerial Issues in the Healthcare System
  • 10.13. Data Quality in the Healthcare System
  • 10.14. Public Reporting Data in the Healthcare System
  • 10.15. Data Privacy and Governance in the Healthcare System
  • 10.16. Conclusion
  • References
  • Chapter 11: Automatic Room Light Controller Using Arduino and PIR Sensor
  • 11.1. Introduction
  • 11.2. Literature Survey
  • 11.3. IoT Components
  • 11.4. Architecture of Room Automation with IoT
  • 11.5. Proposed Circuit Descriptions
  • 11.6. Pir Sensor and Relay Module
  • 11.6.1. Working of the System
  • 11.6.2. The Circuit Diagram
  • 11.7. Results
  • 11.8. Conclusion
  • 11.9. Future Scope
  • References
  • Chapter 12: Role of IoT in Supply-Chain Management Processes
  • 12.1. Introduction.
  • 12.2. Increasing Complexities of Supply-Chain Processes
  • 12.3. Evolution in Supply-Chain Environment
  • 12.4. Internet of Things
  • 12.5. Role of IoT in Sustainable Supply-Chain Management
  • 12.6. Detailed Literature on Supply-Chain Process and IoT
  • 12.6.1. Source
  • 12.6.2. Make
  • 12.6.3. Deliver
  • 12.6.4. Return
  • 12.7. RFID for Innovative Supply-Chain Management
  • 12.7.1. RFID in Integration
  • 12.7.2. RFID in Operations
  • 12.7.3. RFID in Purchasing
  • 12.7.4. RFID in Distribution
  • 12.8. IoT-Based Fuzzy Logic Decision System for Reversed Logistics
  • 12.8.1. Input 1: Frequency of Maintenance/Repair
  • 12.8.2. Input 2: Time Utilization of Product
  • 12.8.3. Input 3: Product Inactive Mode
  • 12.8.4. Output: Dispose Intension
  • 12.9. Blockchain and IoT for SCM
  • 12.10. Conclusion
  • References
  • Chapter 13: Moving Toward Autonomous Vehicles (Drones and Robots) for Efficient and Smart Delivery of Services Using Hybrid Ontological-Based Approach
  • 13.1. Introduction
  • 13.2. Related Works on Drone and Robotics-Based Logistics
  • 13.3. Methodology
  • 13.3.1. Proposed Delivery Process Using AGVs (Robots)
  • 13.3.2. Proposed Delivery Process Using Ontological-Based Hybrid Approach (Drones+Robots)
  • 13.3.3. Ontological Factor to Filter Delivery Orders in Hybrid System
  • 13.4. Case Study and Analysis
  • 13.5. Conclusion and Future Scope
  • References
  • Chapter 14: Relevance and Predictability in Wireless Multimedia Sensor Network in Smart Cities
  • 14.1. Introduction
  • 14.2. Related Works
  • 14.3. Transport Protocol
  • 14.3.1. Reliability Mechanism
  • 14.3.2. Performance Metrics
  • 14.4. Comparison of Protocols
  • 14.5. Conclusion
  • 14.6. Future Scope
  • References
  • Index.

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