Scholarlink

The acceleration of urbanization presents complex challenges for sustainability, governance, and citizen well-being. Smart cities emerge as adaptive solutions, grounded in the convergence of Internet of Things (IoT), Artificial Intelligence (AI), and cloud computing. IoT sensors embedded across infrastructures generate vast, real-time data streams, while AI algorithms provide predictive insights for mobility, energy, and safety management. Cloud infrastructures enable interoperability, secure storage, and scalable integration across heterogeneous systems. Theoretically, this integration aligns with socio-technical systems theory, highlighting the interdependence of technological and social layers; resilience theory, emphasizing adaptive capacities for coping with urban uncertainties; and sustainability transitions theory, framing how innovations drive systemic change in urban environments. These perspectives reveal how smart cities can function not merely as technological solutions but as socio-technical ecosystems that enhance sustainability, inclusivity, and resilience. However, ethical concerns regarding privacy, security, and governance necessitate robust regulatory frameworks. This study contributes to understanding the transformative potential and theoretical underpinnings of IoT–AI–cloud synergies for future urban living.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Smart Cities in Action: Integrating IoT, AI, and Cloud Infrastructure for Sustainable Urban Living

  • 章节

  • 发表日期：

    2026年

查看全文
  • Hiranya Dissanayake,
  • Otilia Manta,
  • Deshika Nainanayake,
  • Lalit Mohan Tewari

摘要

The acceleration of urbanization presents complex challenges for sustainability, governance, and citizen well-being. Smart cities emerge as adaptive solutions, grounded in the convergence of Internet of Things (IoT), Artificial Intelligence (AI), and cloud computing. IoT sensors embedded across infrastructures generate vast, real-time data streams, while AI algorithms provide predictive insights for mobility, energy, and safety management. Cloud infrastructures enable interoperability, secure storage, and scalable integration across heterogeneous systems. Theoretically, this integration aligns with socio-technical systems theory, highlighting the interdependence of technological and social layers; resilience theory, emphasizing adaptive capacities for coping with urban uncertainties; and sustainability transitions theory, framing how innovations drive systemic change in urban environments. These perspectives reveal how smart cities can function not merely as technological solutions but as socio-technical ecosystems that enhance sustainability, inclusivity, and resilience. However, ethical concerns regarding privacy, security, and governance necessitate robust regulatory frameworks. This study contributes to understanding the transformative potential and theoretical underpinnings of IoT–AI–cloud synergies for future urban living.