Energy-Efficient Transformative Technologies for Data-Driven Smart Cities delves into innovative solutions and groundbreaking methodologies essential for constructing smart cities that prioritize energy efficiency and security. With the modern urban landscape rapidly evolving, this book serves as a vital resource for policymakers, engineers, and researchers striving to harness data-driven technologies effectively. From sustainable energy systems to advanced data management frameworks, this comprehensive guide explores pivotal tools and strategies that address the challenges of urbanization and environmental impact.
Beyond energy efficiency, the book emphasizes the importance of robust cybersecurity measures, seamless integration of IoT devices, and intelligent urban planning. It offers actionable insights for achieving smart city infrastructures that are both resilient and adaptive.
1. Introduction - p. xiii 2. Chapter 1 Introduction to data-driven super-smart cities of the future - p. 1 3. Chapter 2 Energy efficiency in wireless sensor networks - p. 21 4. Chapter 3 Security considerations in an energy-efficient super-smart city - p. 37 5. Chapter 4 Energy harvesting technologies in a super-smart city - p. 55 6. Chapter 5 Energy challenges in transformative technologies-based super-smart city implementation - p. 71 7. Chapter 6 Optimization techniques for energy efficiency in the super-smart city - p. 91 8. Chapter 7 Communication protocols for low-energy devices - p. 107 9. Chapter 8 Cross-layer optimization for energy efficiency in super-smart cities of the future - p. 125 10. Chapter 9 Energy-aware routing protocols in smart cities - p. 145 11. Chapter 10 Energy-efficient management policies in smart cities - p. 161 12. Chapter 11 Machine learning for energy prediction in supersmart cities - p. 179 13. Chapter 12 Edge computing for an energy-efficient super-smart city - p. 197 14. Chapter 13 Neuromorphic-driven energy optimization in smart urban logistics - p. 211 15. Chapter 14 Transformative AI for energy-efficient lean cities - p. 229 16. Index - p. 253
Energy-Efficient Transformative Technologies for Data-Driven Smart Cities delves into innovative solutions and groundbreaking methodologies essential for constructing smart cities that prioritize energy efficiency and security. With the modern urban landscape rapidly evolving, this book serves as a vital resource for policymakers, engineers, and researchers striving to harness data-driven technologies effectively. From sustainable energy systems to advanced data management frameworks, this comprehensive guide explores pivotal tools and strategies that address the challenges of urbanization and environmental impact.
Beyond energy efficiency, the book emphasizes the importance of robust cybersecurity measures, seamless integration of IoT devices, and intelligent urban planning. It offers actionable insights for achieving smart city infrastructures that are both resilient and adaptive.
1. Introduction - p. xiii 2. Chapter 1 Introduction to data-driven super-smart cities of the future - p. 1 3. Chapter 2 Energy efficiency in wireless sensor networks - p. 21 4. Chapter 3 Security considerations in an energy-efficient super-smart city - p. 37 5. Chapter 4 Energy harvesting technologies in a super-smart city - p. 55 6. Chapter 5 Energy challenges in transformative technologies-based super-smart city implementation - p. 71 7. Chapter 6 Optimization techniques for energy efficiency in the super-smart city - p. 91 8. Chapter 7 Communication protocols for low-energy devices - p. 107 9. Chapter 8 Cross-layer optimization for energy efficiency in super-smart cities of the future - p. 125 10. Chapter 9 Energy-aware routing protocols in smart cities - p. 145 11. Chapter 10 Energy-efficient management policies in smart cities - p. 161 12. Chapter 11 Machine learning for energy prediction in supersmart cities - p. 179 13. Chapter 12 Edge computing for an energy-efficient super-smart city - p. 197 14. Chapter 13 Neuromorphic-driven energy optimization in smart urban logistics - p. 211 15. Chapter 14 Transformative AI for energy-efficient lean cities - p. 229 16. Index - p. 253
