Smart City Computational Paradigms

Name: Smart City Computational Paradigms
Price: 200 USD
Availability: InStock
ISBN: 9780443277269

A Sustainable Approach

by Mohit Kumar, Aditi Sharma, Ketan Kotecha, Victor Sheng

1st Edition

Publisher: Elsevier

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Book Details

Print ISBN	9780443277269
eText ISBN	9780443277276
Publisher	Elsevier
Publishing Year	2026
Edition	1st Edition
Language	English
Pages	460

Smart City Computational Paradigms: A Sustainable Approach, 1st Edition, delivers an extensive academic investigation into combining computational intelligence with Internet of Things infrastructure. Edited by Mohit Kumar, Aditi Sharma, Ketan Kotecha, and Victor Sheng, this volume outlines how modern computational frameworks enable autonomous, efficient, and adaptive operations across municipal, industrial, and healthcare settings.

The text integrates multiple operational domains, explicitly connecting smart homes, healthcare networks, intelligent transportation, industrial systems, environmental monitoring, and energy management. Core technical sections detail deep Q-learning methods designed for optimal renewable energy grid management. Additionally, the volume presents digital identification and authentication frameworks, including DIdA-IoT, for controlling access to IoT devices using blockchain protocols.

This publication functions as a primary resource for upper-level academic instruction and specialized research. The content offers structured subject coverage intended for post-graduate students who study technologies of the built environment, IoT networks, energy infrastructure, and water sustainability.

Chapter 1: An Introduction to Sustainable Smart city: Taxonomy, Computing Paradigm, and Challenges
Chapter 2: Edge-enabled IoT Architecture for Smart Cities
Chapter 3: Bridging Social Disparities in Smart Cities with Multi-Microgrid Networks and its Dynamic Boundaries
Chapter 4: Harnessing Deep Q Learning for Optimal Renewable Energy Grid Management
Chapter 5: Integration of Edge-Enabled IoT in Vehicular Networks in Smart Cities
Chapter 6: Enhanced Security in Vehicles: Adaptive Speed Control Mechanism Based on Seat Belts Wearing Patterns
Chapter 7: Harnessing AI-driven IoT Solutions for Smart Environment
Chapter 8: Revolutionizing Breast Cancer Diagnosis: A Comprehensive Review of AIoT Applications and Opportunities
Chapter 9: Sustainable Health Monitoring with Multimodal Fusion: A Federated IoMT Framework for Early Myocardial Infarction Detection
Chapter 10: DIdA-IoT: Digital Identification and authentication framework for access management of IoT Devices using blockchain
Chapter 11: Block Withholding Attack Mitigation in Blockchains for Smart Cyber Physical System
Chapter 12: Blockchain Integrated Federated Learning for Privacy Preserving Artificial Intelligence and Sustainable Smart City Infrastructure
Chapter 13: Blockchain Empowered Federated Learning to Enhance Data Privacy and Sustainability in Smart Cities
Chapter 14: Blockchain-Enabled Smart City Services: Integrating IoT and XAI for Efficient Public Fund Management
Chapter 15: National and International Drift on Smart Cities
Chapter 16: AI and Real-Time Auditing/Taxation in Smart City Economies: Navigating the Future