Edge Computing and Iot: Enabling Real-Time Data Processing for Smart Cities

Abstract

The proliferation of Internet of Things (IoT) devices has led to an exponential increase in data generation, posing challenges to traditional cloud-based architectures. Edge computing offers a solution by processing data closer to the source, reducing latency, bandwidth usage, and response time. This paper explores the integration of edge computing with IoT in the context of smart city applications. It highlights use cases such as smart traffic management, environmental monitoring, and energy optimization. The paper discusses the advantages of edge-IoT integration, including real-time analytics, improved data security, and decentralized decision-making. Challenges related to infrastructure deployment, device interoperability, and security risks are also examined. Future directions for enhancing edge-IoT systems with AI and 5G technologies are explored.

Keywords: Edge Computing, IoT, Smart Cities, Real-Time Processing, Data Security