IoT-Based Smart Cities and Context-Aware Edge-Based AI Models for Wireless Sensor Networks

Artificial Intelligence (AI) and the Internet of Things (IoT) are Innovatively integrated to advance smart cities.
Urban infrastructure depends on Wireless Sensor Networks (WSNs) to gather and transmit data, enabling edge-based AI
models to make context-aware decisions. This literature review examines the evolution of city models, IoT technologies of role, and the application of edge computing and AI techniques to enhance context-aware systems. Additionally, it incorporates insights into AI implementation across various domains, including healthcare, education, mobility, governance, and environmental sustainability. We discuss research potential, technological advancements, and significant concerns like energy
efficiency, scalability, privacy, and security. Diagrams illustrating city architecture and conceptual AI frameworks are included to enhance understanding.