Communication Protocols and AI Integration for Real-Time Monitoring and Predictive Healthcare Systems in Smart Cities

Dr. Anshad A. S, Dr. Venkata Lakshmi Suneetha M, Nisha Rathore

Indexed In: google scholar

Release Date: 28/03/2025 | Copyright:©2025 | Pages: 463

DOI: 10.71443/9789349552487

ISBN10: 9349552485 | ISBN13: 9789349552487

Hardcover:$300

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This book explores the integration of communication protocols and artificial intelligence (AI) in real-time monitoring and predictive healthcare systems within smart cities. It covers advanced IoT-based healthcare frameworks, edge computing for real-time data processing, and AI-driven predictive analytics for disease prevention. Topics include secure data transmission, interoperability of medical devices, and AI-enhanced decision-making for public health management. The book also addresses challenges such as data privacy, scalability, and network reliability in smart healthcare ecosystems. Designed for researchers, engineers, and healthcare professionals, it provides insights into cutting-edge technologies shaping the future of smart city healthcare infrastructure.

Communication protocols and AI integration play a crucial role in real-time monitoring and predictive healthcare systems within smart cities. Advanced protocols like MQTT, CoAP, and 5G ensure seamless data transmission between IoT-enabled medical devices, cloud platforms, and healthcare providers. AI-driven analytics process vast amounts of patient data, enabling early disease detection, personalized treatment plans, and efficient resource allocation. Machine learning models enhance predictive capabilities, reducing emergency response times and improving patient outcomes. Secure encryption and blockchain ensure data integrity and privacy. The integration of AI and robust communication frameworks transforms healthcare delivery, fostering proactive and data-driven smart city ecosystems.

Table Of Contents

Detailed Table Of Contents


Chapter 1

Architectural Frameworks for AI-Powered Healthcare Systems with Multi-Layered Communication Protocols in Smart Cities

Anshad A.S, T. Aditya Sai Srinivas

(Pages:32)

Chapter 2

Real-Time Health Data Acquisition Using IoT-Enabled Wireless Sensor Networks in Urban Healthcare Ecosystems

Mohammad Faiz Afzal, S. Yamunadevi

(Pages:33)

Chapter 3

Advanced AI Models for Predictive Healthcare Analytics Leveraging Real-Time Big Data Processing

V. Bhoopathy, N. Ageela

(Pages:34)

Chapter 4

Multi-Protocol Communication Layers for Seamless Integration of Medical Devices in Smart City Infrastructures

N. Ageela, L. Mohana Kannan

(Pages:35)

Chapter 5

5G Communication Standards and Their Role in Enabling Ultra-Reliable Low-Latency Healthcare Applications

Ravi Mohan, Mohsin Salim Gangat

(Pages:37)

Chapter 6

Integration of Federated Learning in Decentralized Healthcare Networks for Urban Health Monitoring

Syeda Sadia Tabassum , P. Malar

(Pages:38)

Chapter 7

Cloud and Edge Computing for High-Speed Data Analysis and Response in Predictive Healthcare Systems

Asma Anjum, Senivarapu Ankit Reddy

(Pages:39)

Chapter 8

Enhanced Transport Protocols for High-Bandwidth Data Transmission in Smart City Healthcare Networks

Asma Anjum , Mo. Ateeb Ansari

(Pages:33)

Chapter 9

AI-Driven Adaptive Communication Algorithms for Continuous Monitoring of Chronic Conditions in Urban Areas

G. M. Satyaseelan, Veer Sudheer Goud

(Pages:36)

Chapter 10

Design of Low-Power, Energy-Efficient Communication Modules for Wearable Health Monitoring Devices

Anshad A.S, Bimal Nepal

(Pages:39)

Chapter 11

Blockchain Integration in AI-Enabled Communication Protocols to Enhance Trust and Security in Health Data

M. Umaselvi, M. N. Quadri

(Pages:36)

Chapter 12

Optimization of Multi-Hop Communication in IoT Systems for Urban Health Data Aggregation and Processing

G. Kharmega Sundararaj, Sachin Sambhaji Patil

(Pages:32)

Chapter 13

Secure Machine-to-Machine Communication Techniques for Scalable Healthcare IoT Networks

Ravi Mohan, S. Kanimozhi

(Pages:38)

Chapter 14

Deep Learning Applications in Anomaly Detection and Predictive Maintenance of Urban Health Infrastructure

Seepuram Srinivas Kumar, S. Hamsareka

(Pages:35)

Chapter 15

Standardization and Interoperability Challenges in Multi-Vendor AI-Driven Communication Systems for Healthcare

Yogeshver Prasad Sharma, E. Sudha

(Pages:35)

Chapter 16

Role of Quantum Communication Protocols in Enabling High-Security Predictive Healthcare Systems

N. Sowmya, Sachin Sambhaji Patil

(Pages:33)

Chapter 17

Simulation and Performance Analysis of Smart City Healthcare Networks with AI-Augmented Communication Frameworks

Saurabh Srivastava, R. Jegadeesh Kumar

(Pages:36)


Contributions


Anshad A. S. is an energetic and young individual who holds a doctoral degree in electronics engineering and has significant academic and administrative experience in Engineering Colleges. He currently serves as the Principal of the John Cox Memorial CSI Institute of Technology, Thiruvananthapuram, Kerala, under APJ Abdul Kalam Technological University (KTU). He is passionate about research, believes in learning, and strives to enhance OBE skills. His research areas include Wireless Sensor Networks (WSNs), Artificial Intelligence, Medical Imaging, Biomedical, and Communication. He is an approved research supervisor at APJA KTU and has 16+ years of academic experience in teaching and managerial positions. His research findings have been published in SCIE, SCOPUS, UGC care and other Google-indexed journals. He has authored some books and patented some designs and utilities. He has attended and presented many research articles at international conferences.

He is updating his knowledge by organizing and undergoing many FDPs, PDP’s, workshops, seminars, and MOOCs to comply with the current scenario. He has memberships in several professional institutions like FIETE, MISTE, CSI, IAENG, ABCD Index, ITA, AMIEE, IFERP, IISD, etc. He is a reviewer for some reputed journal publications and conferences. He is also a part of some funded projects.

Dr. Venkata Lakshmi Suneetha M is a distinguished academician and researcher with a strong educational background and extensive experience in teaching and research. She has successfully completed her Post-Doctoral Fellowship at Srinivas University, Mangalore, and holds a Ph.D. from Rayalaseema University, where her research focused on the sectoral performance of BSE-listed IT companies. In addition to her doctoral qualifications, she possesses an MBA from P.B. Siddhartha College of Arts and Science and a B.Tech in Mechanical Engineering from Nimra College of Engineering & Technology. Currently, she serves as an Assistant Professor in the Department of MBA at The Oxford College of Engineering, Bangalore, where she contributes to business and management education. Her interdisciplinary academic journey reflects a commitment to integrating engineering and business perspectives, significantly enriching her field of study.

Nisha Rathore is an Assistant Professor at Amity School of Engineering and Technology, Amity University Chhattisgarh, Raipur. With a distinguished academic background in Computer Science and Engineering, including a B.Tech. from Pranveer Singh Institute of Technology, Kanpur, an M.Tech. from National Institute of Technology, Patna, and enrolled as Ph.D. scholar at IIT (ISM) Dhanbad, Nisha has established herself as a leading expert in her field. Her impressive credentials are complemented by a slew of achievements, including GATE and UGC-NET success, numerous research publications, a book, multiple book chapters, and three patents. Her research interests span brain-computer interface, soft computing, computer networks, fuzzy logic, and machine learning. As a member of IAENG and the Institutional Innovation Council, Nisha actively promotes computer science education and innovation. With her self-help book, 'The Paradise of Ultimate Happiness,' Nisha extends her expertise beyond academics, empowering students to prioritize their well-being and happiness.



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