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5G Enabled Technology for Smart City and Urbanization System

5G Enabled Technology for Smart City and Urbanization System


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About the Book

This book examines the applications, trends and challenges of 5G Enabled technologies for Smart City and Urbanization systems. It addresses the challenges to bringing such capabilities of 5G-enabled technologies for smart cities and urbanisation into practice by presenting the theoretical as well as technical research outcomes with case studies. It covers key areas, including smart building, smart health care, smart mobility, smart living, smart surveillance, and IOT-based systems. It explains how these systems are connected using different technologies that support 5G access and control protocols. • Offers a comprehensive understanding of the emergence of 5G technology and its integration with IoT, Big Data, and Artificial Intelligence for smart city and urbanisation • Focuses on useful applications of Smart City and Urbanization, which can enhance different aspects of urban life • Explores the advantages of using massive IoT and predictive analytics approaches in smart cities • IoT, Bigdata, Deep learning and machine learning techniques are explained to fuel smart city and Urbanization system • Addresses both theoretical and technical research outcomes related to smart city and urbanisation with 5G technology. It serves as a valuable reference for graduate students, researchers, and m practitioners seeking to deepen their knowledge and engage with the latest advancements in the areas of Smart cities and Urbanization systems.

Table of Contents:
1: 5G With Emerging Technology and its Implication 2: Architectural Design Principles for Smart and Sustainable Cities 3: Various Frameworks for Smart City and Urbanization System 4: Different Methodologies for Smart City and Urbanization System 5: Analysis of the Techniques used in the Development of Smart Cities and Urbanization Systems 6: 5G Oriented Positioning Technology 7: Massive IoT for Industry Urbanization: Challenges, Emerging Trends, and Usecase Scenario 8: Iterative approach to implement and deployment for Smart City and Urbanization 9: From Concept to Reality: The Iterative Path of Smart City Implementation 10: Trends and Challenges in Development of Smart City and Urbanization System 11: Trust, Interpretability, and Explainability for Ensuring 5G-Enabled Smart City Security 12: Enhancing Project Security: Unveiling Trust, Interpretability, and Explainability in the Age of AI 13: Global Software Development for Smart Cities 14: Applications: Smart City and Urbanization Systems 15: Empowering the Future: Digital Twins and Connectivity in Smart City Development

About the Author :
Dr. Susheela Hooda is an Associate Professor, at Chitkara University Institute of Engineering & Technology, Chitkara University, Rajpura, Punjab, India since 2021. She completed her Ph.D. in Computer Science & Applications in 2018, from Maharshi Dayanand University, Rohtak, Haryana India. She has more than 15 years of teaching and research experience. Dr. Susheela is a distinguished researcher in the areas of software engineering, aspect-oriented software development, software testing, cloud computing, Artificial Intelligence, Machine Learning. She has published more than thirty technical research papers in leading journals and conferences. As per editorial experience is concerned, she is serving as an editor for a renowned publisher. She has published and granted more than 10 national and international patents. Dr. Vidhu Kiran Sharma is an Assistant Professor in the Department of Computer Science and Engineering, CDLSIET, Haryana, India since 2023. She completed her Ph.D. in Computer Science & Engineering from Maharaja Ranjit Singh State Technical University, Punjab, India. Dr. Vidhu is a renowned researcher in the areas of Internet of Things, Wireless Sensor Networks, Security, Blockchain, Cryptography, UAV, Machine Learning and Software Engineering. She has published more than thirty technical research papers in leading journals and conferences. She published 5 International and national patents. Dr. Rupali Gill is an Associate Professor and Dean at Chitkara University Institute of Engineering & Technology, Chitkara University, Rajpura, Punjab, India. She completed her Ph.D. in Computer Science and Engineering in 2021, from Chitkara University, Rajpura, Punjab, India. Dr. Rupali Gill is a distinguished researcher in the areas of Image Processing, Cloud Computing, Artificial Intelligence, Machine Learning. She has published more than forty technical research papers in leading journals and conferences. She has organized International Conferences and has been granted a published patent. Dr Durgesh Srivastava is an Associate Professor, at Chitkara University Institute of Engineering & Technology, Chitkara University, Rajpura, Punjab, India. He received his PhD degree in Computer Science & Engineering from IKG Punjab Technical University, Jalandhar, Punjab, India in 2020. He received B. Tech. degree in Information & Technology (IT) from MIET, Meerut, UP in 2006 and ME in Software Engineering from Birla Institute of Technology (BIT), Mesra, Ranchi, Jharkhand, India in 2008. He has 14 years of research and academic experience. His research interests include Machine Learning, Soft Computing, Pattern Recognition, Software engineering, modelling, design, etc. He has published more than 30 papers in reputed international/national journals and conferences/seminars. As per editorial experience is concerned, he is serving as an editor for CRC Press (Taylor & Francis). He has published several patents and copyrights in the field of computer software. He has organized and attended various workshops during his teaching career. He is a life member of a different professional society. Dr. Jabar H. Yousif Associate Prof. at Faculty of Computing and Information Technology, Sohar University, Oman. Ph.D. in Information Science & Technology, M.Sc. & B.Sc. in Computer Science. Postdoctoral fellowship in Virtual Reality. More than 25 years of teaching experience. He has published more than 90 papers & books in Artificial Intelligent, Cloud Computing, Soft Computing, Artificial Neural Networks, Natural Language Processing, Arabic text Processing & Virtual Reality. Editorial board & reviewer for many scientific journals and conferences.


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Product Details
  • ISBN-13: 9781040183199
  • Publisher: Taylor & Francis Ltd
  • Publisher Imprint: Chapman and Hall
  • Language: English
  • ISBN-10: 1040183190
  • Publisher Date: 04 Dec 2024
  • Binding: Digital (delivered electronically)


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