Real-Time Edge Analytics for Smart Cities

The evolution of IoT technologies has transformed urban environments into smart cities by enabling real-time processing of vast data streams. Edge intelligence is vital in this transformation, facilitating local data processing for timely decision-making. Real-time traffic systems use edge analytics to optimize flow and reduce accidents, while environmental monitoring leverages edge technologies to detect hazards through air quality sensors. Public safety is enhanced via edge-enabled surveillance systems that analyse real-time video feeds to identify suspicious activities, reducing latency and storage demands. Despite these advancements, challenges like managing computational loads at the edge persist. Future research aims to develop efficient algorithms to address these issues, fostering adaptive smart city infrastructures. In conclusion, edge intelligence and analytics are critical for real-time decision-making, business data processing, and improving urban living, positioning them as the cornerstone of future smart cities.