Energy-Efficient Transformative Technologies for Data-Driven Smart Cities

Author:   Hamed Nozari (Assistant Professor, Department of Management, Azad University, Dubai, United Arab Emirates) ,  Reza Tavakkoli-Moghaddam (Professor of Industrial Engineering, College of Engineering, University of Tehran, Iran)
Publisher:   Elsevier - Health Sciences Division
ISBN:  

9780443276187


Pages:   280
Publication Date:   10 November 2025
Format:   Paperback
Availability:   In Print   Availability explained
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Energy-Efficient Transformative Technologies for Data-Driven Smart Cities


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Author:   Hamed Nozari (Assistant Professor, Department of Management, Azad University, Dubai, United Arab Emirates) ,  Reza Tavakkoli-Moghaddam (Professor of Industrial Engineering, College of Engineering, University of Tehran, Iran)
Publisher:   Elsevier - Health Sciences Division
Imprint:   Elsevier - Health Sciences Division
Weight:   0.450kg
ISBN:  

9780443276187


ISBN 10:   0443276188
Pages:   280
Publication Date:   10 November 2025
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

1. An Introduction to the Data-driven Super-smart Cities of the Future 2. Energy Efficiency in Wireless Sensor Networks 3. Security Considerations in an Energy-efficient Super-smart City 4. Energy Harvesting Technologies in a Super-smart City 5. Energy Challenges in Transformative Technologies-based Super-smart City Implementation 6. Optimization Techniques for Energy Efficiency in the Super-smart City 7. Communication Protocols for Low-Energy Devices 8. Cross-layer Optimization for Energy Efficiency in Super-smart Cities of the Future 9. Energy-aware Routing Protocols in Smart Cities 10. Energy-efficient Management Policies in Smart Cities 11. Machine Learning for Energy Prediction in Super Smart Cities 12. Edge Computing for an Energy-efficient Super-smart City

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Author Information

Hamed Nozari is an Assistant Professor in the Department of Management at Azad University, Dubai. His resource interests are in digital developments and smart systems and optimization 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.

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