EDGE INTELLIGENCE FOR SMART CITIES: ENHANCING REAL-TIME DATA PROCESSING THROUGH ARTIFICIAL INTELLIGENCE AND EDGE COMPUTING

The rapid growth of smart city technologies has led to an unprecedented increase in data generated by Internet of Things (IoT) devices, sensors, cameras, and connected infrastructure. Traditional cloud-centric computing architectures often struggle to meet the low-latency and high-bandwidth requirements of real-time applications. Edge Intelligence, which combines Artificial Intelligence (AI) with Edge Computing, has emerged as a promising solution by enabling data processing closer to the source. This paper presents a comprehensive review of Edge Intelligence in smart city environments, discussing its architecture, enabling technologies, practical applications, benefits, challenges, and future research directions. The paper also examines the integration of edge computing with AI, 5G networks, blockchain, and digital twins to improve urban services. The findings indicate that Edge Intelligence can significantly enhance the efficiency, scalability, security, and responsiveness of next-generation smart city ecosystems.