Analyzing the Effects of Internet of Things Adoption on Real-Time Data Analytics in Smart City Ecosystems
Keywords:
Internet of Things, Smart Cities, Real-Time Analytics, Urban Computing, Intelligent Infrastructure, Data Processing, Edge ComputingAbstract
The rapid integration of the Internet of Things (IoT) in smart city ecosystems has transformed real-time data analytics capabilities by enabling continuous sensing, efficient data flows, and improved decision-making processes. As municipalities deploy interconnected devices to monitor traffic, energy usage, waste management, and environmental conditions, IoT becomes an essential infrastructure component for urban intelligence. This study examines how IoT adoption enhances real-time analytics, improves operational efficiency, and supports data-driven governance across smart cities. Additionally, the paper evaluates critical literature, compares analytical frameworks, and identifies technological, organizational, and security challenges associated with IoT-enabled infrastructures. The findings highlight how IoT adoption strengthens predictive modeling and responsive city services while also emphasizing the need for robust governance mechanisms. Overall, IoT-driven analytics provide a foundation for creating sustainable, adaptive, and citizen-centric smart cities.
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