Energy-Efficient Transformative Technologies for Data-Driven Smart Cities - Softcover

Softcover

ISBN 10: 0443276188 ISBN 13: 9780443276187

Publisher: Elsevier, 2025

Synopsis

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.

• Brings together fundamental principles from infrastructure and design to security
• Breaks down a wide variety of specific techniques across the smart-city landscape
• Supports the development of smart cities for sustainable, efficient energy usage in the built environment

About this title

About the Authors

Hamed Nozari is a distinguished researcher at University of National and World Economy (UNWE), Sofia, Bulgaria, and innovator in industrial engineering, supply chain optimization, and artificial intelligence applications. Holding a Ph.D. in Industrial Engineering, he has made significant contributions to the fields of multi-objective decision-making, smart supply chains, and digital twin technologies. His research spans various interdisciplinary areas, including predictive maintenance in green supply chains, AI-driven marketing optimization, cybersecurity in smart economies, Digital twin, and autonomous AI for sustainable last-mile delivery.

Reza Tavakkoli-Moghaddam is a Professor of Industrial Engineering at the College of Engineering in the University of Tehran, Iran. He received the Order of Academic Palms Award for a distinguished educator and scholar and the insignia of Chevalier dans l'Ordre des Palmes Academiques from the Ministry of National Education, France in 2019.

From the Back Cover

Energy-Efficient Transformative Technologies for Data-Driven Smart Cities offers a comprehensive guide to the cutting-edge technologies and methodologies essential for developing energy-efficient and secure smart city infrastructures. This book begins with an introduction to data-driven super-smart cities, followed by discussions on energy efficiency in wireless sensor networks (WSN) and security considerations. Subsequent chapters delve into energy harvesting technologies, challenges in transformative technologies, and optimization techniques. The book also explores communication protocols for low-energy devices, cross-layer optimization, energy-aware routing protocols, and energy management policies. It concludes with insights into the role of machine learning for energy prediction and the application of edge computing in energy-efficient smart cities. Building from fundamental knowledge to specific application tools, Energy-Efficient Transformative Technologies provides students, engineers, and researchers, with a roadmap for smart city energy management.

Edition details

• Publisher: Elsevier
• Publication date: 2025
• Language: English
• ISBN 10: 0443276188
• ISBN 13: 9780443276187
• Binding: Paperback
• Number of pages: 270
• Editor: Nozari