Convergence of IoT, Blockchain, and Computational Intelligence in Smart Cities / edited by Rajendra Kumar [and three others].
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.
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| Online Access: |
Full Text (via O'Reilly/Safari) |
|---|---|
| Other Authors: | |
| Format: | eBook |
| Language: | English |
| Published: |
Abingdon, England :
CRC Press,
[2024]
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| Edition: | First edition. |
| Series: | Computational mathematics and analysis series.
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| Subjects: |
MARC
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| 245 | 0 | 0 | |a Convergence of IoT, Blockchain, and Computational Intelligence in Smart Cities / |c edited by Rajendra Kumar [and three others]. |
| 250 | |a First edition. | ||
| 264 | 1 | |a Abingdon, England : |b CRC Press, |c [2024] | |
| 264 | 4 | |c ©2024 | |
| 300 | |a 1 online resource (296 pages) : |b illustrations. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
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| 490 | 1 | |a Computational Intelligence Techniques Series | |
| 504 | |a Includes bibliographical references and index. | ||
| 588 | |a Description based on print version record. | ||
| 520 | |a 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. | ||
| 505 | 0 | |a 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. | |
| 505 | 8 | |a 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. | |
| 505 | 8 | |a 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. | |
| 505 | 8 | |a 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. | |
| 505 | 8 | |a 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. | |
| 650 | 0 | |a Big data. | |
| 650 | 0 | |a Cloud computing. | |
| 650 | 0 | |a Internet of things. | |
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| 650 | 7 | |a Cloud computing. |2 fast |0 (OCoLC)fst01745899 | |
| 650 | 7 | |a Internet of things. |2 fast |0 (OCoLC)fst01894151 | |
| 700 | 0 | |a Rajendra Kumar, |e editor. | |
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