Generative AI-Enabled IoT Applications for Smart Cities

Abstract

In the dynamic evolution of smart cities, the collaboration between generative artificial intelligence (AI) and internet of things (IoT) technologies is reshaping urban experiences and fostering sustainable urban development. This collaborative explores the intricate balance of dynamic resource allocation and optimization facilitated by generative AI algorithms within intelligent city IoT networks. It unfolds the transformative potential of generative design for smart city infrastructure, offering insights into energy efficiency and advanced AI processes. The chapter underscores the pivotal role of predictive analytics, behavior prediction, and cybersecurity measures in steering decision-making for optimal urban functioning. Real-world case studies illuminate successful generative AI-IoT integrations, providing tangible lessons for stakeholders, and conclude by urging ongoing collaborative research to address evolving challenges and chart future directions for a more interconnected and resilient urban future. This chapter serves as a valuable contribution, providing a comprehensive exploration of the transformative potential of this collaborative paradigm.