IoT Architectures and AI-Enabled Smart City Solutions for Sustainable Urban Development

Dr. Prerana Nilesh Khairnar, Dr. O. Ganesh Babu, Ms. N. Valarmathi , Dr. S. Sathya Franklin

Indexed In: google scholar

Release Date: 2025 | Copyright:©2025 | Pages: 485

DOI: 10.71443/9789349552241

ISBN10: 9349552248 | ISBN13: 9789349552241

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This book explores the integration of Internet of Things (IoT) architectures and AI-enabled technologies in developing smart city solutions aimed at sustainable urban development. It delves into the design, implementation, and optimization of intelligent systems for real-time data processing, infrastructure management, and citizen-centric services. Covering key domains such as energy efficiency, waste management, transportation, public safety, and environmental monitoring, the book highlights how AI and IoT converge to enhance urban resilience, efficiency, and livability. Through case studies and cutting-edge research, it provides actionable insights for policymakers, urban planners, researchers, and technology professionals driving the future of sustainable smart cities.

This book covers a comprehensive range of topics at the intersection of IoT architectures and AI-driven smart city innovations, focusing on sustainable urban development. It includes foundational concepts of IoT and AI integration, smart infrastructure design, real-time data analytics, and cloud-edge computing frameworks. Key applications such as intelligent transportation systems, smart energy grids, waste and water management, environmental monitoring, public safety, and e-governance are thoroughly examined. The book also addresses challenges in cybersecurity, data privacy, interoperability, and policy regulations. Emphasizing global best practices and case studies, it offers a multidisciplinary perspective for building scalable, efficient, and sustainable smart urban ecosystems.


Table Of Contents

Detailed Table Of Contents


Chapter 1

Fundamentals of IoT Architectures and AI Frameworks for Scalable Smart City Infrastructure Development

Sheetal sharma, Durairaji V, Shunmuga Sankari M

(Pages:35)

Chapter 2

Machine Learning and Deep Learning Algorithms for Real Time Smart City Data Processing and Decision Making

Leeja Mathew, Senthil Selvi Chandramohan, Shoba Rajendran

(Pages:36)

Chapter 3

Edge Computing and Fog Computing Paradigms for Ultra Low Latency IoT Based Smart City Applications

R Thiyagarajan, M Arivamudhan

(Pages:37)

Chapter 4

High Speed Wireless Communication Technologies Including 5G and Beyond for Reliable Smart City IoT Networks

S. Asha, Kundan Baddur, L. Jaya Singh Dhas

(Pages:32)

Chapter 5

Cyber Physical Systems and Digital Twin Technologies for Smart City Planning Simulation and Real Time Monitoring

Aayushee Ghanshyam Kamble, Kundan Baddur, Vandana Kate

(Pages:31)

Chapter 6

AI Enabled Intelligent Traffic Management and Adaptive Transportation Systems for Congestion Reduction and Efficiency

Shobana Rajendran, Srinivasan Sundaramoorthy, Pavithra venkat

(Pages:34)

Chapter 7

IoT Powered Autonomous Vehicles and Connected Mobility Solutions for Sustainable and Smart Urban Transportation

Arun B Mathews, A.Prabhaharan, T.Kamalkumar

(Pages:35)

Chapter 8

Smart Energy Grid Architectures with AI Driven Demand Forecasting and Load Balancing for Efficient Power Management

M.H.Divakar, Nandaraja H Shadlageri, Arjunkumar.M

(Pages:39)

Chapter 9

IoT Based Smart Waste Management and Automated Recycling Systems for Sustainable Urban Environments

Ganesh Babu Oorkavalan, Padmapriya Subramaniyan

(Pages:35)

Chapter 10

AI and IoT Enabled Water Resource Management and Smart Irrigation Technologies for Sustainable Urban Development

Yegireddi Ramesh, Ganesh Babu Oorkavalan, Anusha C

(Pages:34)

Chapter 11

Block chain Integrated Smart City Governance Models for Secure Transparent and Decentralized Decision Making

Ramakrishna Hegde, Soumyasri S M, Varsha Rahul Dange

(Pages:33)

Chapter 12

Predictive Analytics Using AI for Smart Policing Crime Prevention and Public Safety Management in Urban Areas

Ramakrishna Hegde, Soumyasri S M, Jayanthi Boopathiramalingam

(Pages:39)

Chapter 13

IoT Based E Governance Platforms for Seamless Public Administration Smart Citizen Engagement and Service Automation

Suganyadevi M, karthika G, Srikanta Kumar Sahoo

(Pages:36)

Chapter 14

AI Powered Smart Buildings with Automated Energy Optimization and Adaptive Facility Management Systems

Ganesh Babu Oorkavalan, Kundan Baddur, Varsha Rahul Dange

(Pages:39)

Chapter 15

AI Driven Disaster Management and Early Warning Systems for Emergency Response and Urban Resilience Planning

Muthuselvi Rajendran, Gayathri Vairam, Nivetha Ganesan

(Pages:38)

Chapter 16

IoT Enabled Environmental Monitoring for Air Quality Assessment Climate Change Adaptation and Pollution Control

G. Mahendran, S. Murugeswari, S. Praveen Samuel Washburn

(Pages:39)


Contributions


Dr.Prerana Nilesh Khairnar currently an Assistant Professor in the faculty of Computer Engineering at Sir Visvesvaraya Institute of Technology, Chincholi, Sinnar, Nashik, Maharashtra(SVIT). Prior to his recent appointment at the SVIT, was a lecturer in E&TC Department at Pravara Rural Engineering College, Loni, Ahemednagar,Maharashtra. I have teaching experience of more than 16 years in the areas of Engineering. I received undergraduate degrees as well as post degree from Savitribai Phule Pune University, Pune and PhD in Electronics and communication Engineering from Shri Jagdishprasad Jhabarmal Tibrewala University (SJJTU), Rajasthan.

I, published a number of papers in preferred Journals and chapters in books, Bulletin, and participated in a range of Conferences and worked as Conference Chairs. I also presented various academic as well as research-based papers at several national and international conferences. I also published Australian Patent and Indian patent. I received awards like Global Eminent Teacher Award -2021,Best Teacher Award-2019 by Institute of Scholars, and Reviewer For the Journal Of Institute of Scholars.I has written the books titled as ”Data Science and Machine Learning using PHYTHON”, RLK Enterprises & “Artificial Intelligence & Machine Learning.

Dr. O. Ganesh Babu, B.E., M.S., Ph.D., is an Assistant Professor in Civil Engineering at Anna University Regional Campus, Madurai, since August 2023, with prior tenure at Tirunelveli and other campuses since 2009. Specializing in water resources, groundwater, and sustainable materials, he has guided 31 M.E. projects and published extensively in international and national journals. With over two decades of experience, including roles as Junior Research Fellow and Project Associate, he has led significant R&D and consultancy projects, earning recognition as a Master Trainer and Certified Entrepreneurship Educator. Dr. Babu is an active member of multiple professional bodies and has visited Singapore and Malaysia.

Ms.N.Valarmathi is an Assistant Professor in the Department of Information and Technology at M.Kumarasamy College of Engineering, Karur with a Master’s Degree in Information and Technology from Sastra Deemed University Thanjavur. Ms.N.Valarmathi has a robust academic and research background, specializing in Artificial Intelligence, Data Science, Machine Learning and Cyber Security. Ms.N.Valarmathi began their academic journey with a Bachelor's in Information and Technology from M.Kumarasamy College of Engineering, Karur, where they developed a strong foundation in their passion for Artificial Intelligence led them to pursue advanced studies at Sastra Deemed University Thanjavur, where their research focused on Artificial Intelligence, Data Science, Machine Learning and Cyber Security.With a passion for Artificial Intelligence, Data Science, Machine Learning and Cyber Security, Ms.N.Valarmathi brings a wealth of expertise and a dynamic approach to both teaching and research. Their research focuses on Artificial Intelligence is a broad field focused on creating systems that can perform tasks typically requiring human intelligence. This includes developing algorithms and models for perception, reasoning, learning and decision-making. Key areas of research in AI include natural language processing, computer vision, robotics and expert systems. AI research aims to build intelligent agents that can understand and interact with the world in ways similar to human cognition, with particular emphasis on Artificial Intelligence, Data Science, Machine Learning and Cyber Security. This work aims to the goals of Artificial Intelligence (AI) are diverse and aimed at enhancing the capabilities of machines to perform tasks that would typically require human intelligence. They have published two peer-reviewed papers in leading journals and conferences, including IEEE Transactions on Neural Networks and Learning Systems In addition to their research, Ms.N.Valarmathi is committed to excellence in teaching and mentorship. They teach Internet Programming, Cyber Security, R Programming for Machine Learning striving to inspire and equip students with the skills and knowledge necessary for their professional growth. Ms.N.Valarmathi contributes to curriculum development in Artificial Intelligence and Data Science and Artificial Intelligence and Machine Learning.Ms.N.Valarmathi is a member of Association for the Advancement of Artificial Intelligence and has two patents, One UK Grant.

Dr. S. Sathya Franklin holds multiple advanced degrees, including an MSc, MCA, M.Tech, MPhil, and a Ph.D. in Human-Computer Interaction. He achieved university ranks in his MSc and MCA programs and was recognized as the Best Teacher by the Marwadi Education Foundation in 2013. With over 23 years of teaching experience, Dr. Franklin specializes in subjects such as User Interface Design, Artificial Intelligence, Research Methodologies, Advanced Algorithms, Object-Oriented Programming, and Database Management Systems.In addition to his extensive teaching career, Dr. Franklin has numerous publications in prestigious journals and conferences. He has successfully guided both undergraduate and postgraduate students in their academic and research pursuits. Beyond his classroom responsibilities, Dr. Franklin has been deeply involved in student counseling, mentoring, and initiatives to enhance student-staff academic collaboration. He has also contributed significantly to institutional quality improvements, having been actively involved in ISO, NBA, and NAAC accreditation processes. Furthermore, he has organized several workshops and conferences, demonstrating his commitment to academic excellence and community engagement.

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