Smart City Computational Paradigms: A Sustainable Approach describes the connections between state-of-the-art technologies while also providing a comprehensive overview for readers interested in advanced technologies. The smart city paradigm combines smart homes, smart healthcare, smart transportation, smart industry, smart environment, and smart energy to ensure sustainability, well-being, and comfortable living within the urban environment for the city's citizens. The book identifies challenges and proposed solutions and covers underlying theory, design techniques, classification, taxonomy, and analytical tools. Content primarily focuses on real-time applications, uncertainty solutions, and approaches with hands-on demonstrations for decision-making outcomes.
This convergence of computational intelligence and IoT not only transforms data into actionable knowledge but also fosters the development of autonomous, efficient, and adaptive systems across diverse domains, ranging from smart cities to healthcare and industrial applications. The integration of computational intelligence with IoT enhances the capabilities of connected systems, making them smarter, more efficient, and better equipped to handle the complexities of the modern world.
1. Introduction - p. xix 2. Chapter 1: An introduction to sustainable smart city: taxonomy, computing paradigm, and challenges - p. 1 3. Chapter 2: Edge-enabled IoT architecture for smart cities - p. 27 4. Chapter 3: Bridging social disparities in smart cities through multimicrogrid networks - p. 45 5. Chapter 4: Harnessing deep Q-learning for optimal renewable energy grid management - p. 73 6. Chapter 5: Integration of edge-enabled IoT in vehicular networks in smart cities - p. 101 7. Chapter 6: Enhanced security in vehicles: adaptive speed control mechanism based on seat belts wearing patterns - p. 137 8. Chapter 7: Harnessing AI-driven IoT solutions for smart environment - p. 171 9. Chapter 8: Revolutionizing breast cancer diagnosis: a comprehensive review of AIoT applications and opportunities - p. 193 10. Chapter 9: Sustainable health monitoring with multimodal fusion: a federated IoMT framework for early myocardial infarction detection - p. 213 11. Chapter 10: DIdA-IoT: digital identification and authentication framework for access management of IoT devices using blockchain - p. 237 12. Chapter 11: Block withholding attack mitigation in blockchains using timestamp-based modified consensus algorithm - p. 263 13. Chapter 12: Blockchain integrated federated learning for privacy preserving artificial intelligence and sustainable smart city infrastructure - p. 291 14. Chapter 13: Blockchain-empowered federated learning to enhance data privacy and sustainability in smart cities - p. 333 15. Chapter 14: Blockchain-enabled smart city services: integrating IoT and XAI for efficient public fund management - p. 355 16. Chapter 15: National and international drift on smart cities - p. 375 17. Chapter 16: AI and real-time auditing/taxation in smart city economies: navigating the future - p. 393 18. Index - p. 421
Smart City Computational Paradigms: A Sustainable Approach describes the connections between state-of-the-art technologies while also providing a comprehensive overview for readers interested in advanced technologies. The smart city paradigm combines smart homes, smart healthcare, smart transportation, smart industry, smart environment, and smart energy to ensure sustainability, well-being, and comfortable living within the urban environment for the city's citizens. The book identifies challenges and proposed solutions and covers underlying theory, design techniques, classification, taxonomy, and analytical tools. Content primarily focuses on real-time applications, uncertainty solutions, and approaches with hands-on demonstrations for decision-making outcomes.
This convergence of computational intelligence and IoT not only transforms data into actionable knowledge but also fosters the development of autonomous, efficient, and adaptive systems across diverse domains, ranging from smart cities to healthcare and industrial applications. The integration of computational intelligence with IoT enhances the capabilities of connected systems, making them smarter, more efficient, and better equipped to handle the complexities of the modern world.
1. Introduction - p. xix 2. Chapter 1: An introduction to sustainable smart city: taxonomy, computing paradigm, and challenges - p. 1 3. Chapter 2: Edge-enabled IoT architecture for smart cities - p. 27 4. Chapter 3: Bridging social disparities in smart cities through multimicrogrid networks - p. 45 5. Chapter 4: Harnessing deep Q-learning for optimal renewable energy grid management - p. 73 6. Chapter 5: Integration of edge-enabled IoT in vehicular networks in smart cities - p. 101 7. Chapter 6: Enhanced security in vehicles: adaptive speed control mechanism based on seat belts wearing patterns - p. 137 8. Chapter 7: Harnessing AI-driven IoT solutions for smart environment - p. 171 9. Chapter 8: Revolutionizing breast cancer diagnosis: a comprehensive review of AIoT applications and opportunities - p. 193 10. Chapter 9: Sustainable health monitoring with multimodal fusion: a federated IoMT framework for early myocardial infarction detection - p. 213 11. Chapter 10: DIdA-IoT: digital identification and authentication framework for access management of IoT devices using blockchain - p. 237 12. Chapter 11: Block withholding attack mitigation in blockchains using timestamp-based modified consensus algorithm - p. 263 13. Chapter 12: Blockchain integrated federated learning for privacy preserving artificial intelligence and sustainable smart city infrastructure - p. 291 14. Chapter 13: Blockchain-empowered federated learning to enhance data privacy and sustainability in smart cities - p. 333 15. Chapter 14: Blockchain-enabled smart city services: integrating IoT and XAI for efficient public fund management - p. 355 16. Chapter 15: National and international drift on smart cities - p. 375 17. Chapter 16: AI and real-time auditing/taxation in smart city economies: navigating the future - p. 393 18. Index - p. 421
