Sustainable Smart Systems with Edge Computing and IoT

Sustainable Smart Systems with Edge Computing and IoT explores how edge intelligence, IoT, artificial intelligence, and intelligent automation can be integrated to design secure, energy-efficient, and resilient smart systems for sustainable infrastructure, industry, healthcare, agriculture, environmental management, transportation, and governance. Readers will gain practical and research-oriented insights into developing intelligent systems that deliver real-time decision-making while reducing latency, cloud dependency, computational overhead, and energy consumption. The book combines IoT architectures, edge intelligence, machine learning at the edge, digital twins, cloud–edge collaboration, cybersecurity, blockchain, 5G and beyond, and energy-efficient computing with practical case studies, implementation strategies, performance analyses, and emerging research directions.

A distinctive emphasis on the United Nations Sustainable Development Goals (SDGs) demonstrates how digital technologies can contribute directly to resource optimization, carbon reduction, climate resilience, circular economy practices, and sustainable development. Key Features Integrates edge computing and IoT with SDGs, climate resilience, resource efficiency, and circular economy principles. Combines technological foundations with practical architectures, case studies, implementation strategies, and performance analysis.

Connects IoT, edge AI, digital twins, cybersecurity, blockchain, 5G/6G, intelligent automation, and energy-efficient computing. Addresses applications in smart cities, sustainable manufacturing, precision agriculture, healthcare, renewable energy, environmental monitoring, disaster management, and smart governance. The book is intended for researchers, postgraduate students, academics, engineers, technology developers, policymakers, and industry professionals working in computer science, information technology, electronics, electrical engineering, environmental engineering, industrial automation, smart manufacturing, and sustainability.

It is also suitable as a reference for interdisciplinary courses and research programs covering Industry 5.0, cyber-physical systems, smart infrastructure, IoT, edge computing, and intelligent environmental management.