Sustainable Smart City Infrastructure Using IoT, Edge Computing, and Renewable Energy for Climate-Resilient Urban Development

Abstract

Rapid urbanization, climate stress, and infrastructure overload have intensified the need for cities that are intelligent, efficient, and environmentally resilient. Conventional urban systems were designed for static populations and predictable resource flows, whereas modern cities face flooding, heatwaves, congestion, air pollution, waste accumulation, and rising energy demand. This paper proposes a sustainable smart city infrastructure model integrating Internet of Things technologies, edge computing architectures, and renewable energy systems for climate-resilient urban development. The study examines how distributed sensing, real-time analytics, decentralized decision systems, and clean energy networks can improve mobility, water governance, waste management, public safety, and environmental quality. A unified urban framework is developed in which transport systems, utilities, buildings, and governance platforms exchange data through secure interoperable layers. Edge intelligence reduces latency and bandwidth pressure while enabling rapid local response during emergencies. Renewable microgrids, solar rooftops, battery storage, and demand-responsive loads strengthen urban energy security. Comparative scenario analysis indicates that integrated smart infrastructure can reduce emissions, improve service reliability, lower operational costs, and enhance adaptive capacity under climate shocks. The paper also discusses governance, privacy, inclusion, financing, and long-term maintenance challenges that often determine project success. The findings demonstrate that sustainable smart cities require not only advanced technologies but also institutional coordination and citizen-centered planning. The proposed model provides a practical pathway for emerging and developed urban regions seeking resilient and low-carbon futures.