Edge Computing in IoT: Reducing Latency and Enhancing Real-Time Data Processing

Abstract

Edge computing is emerging as a critical technology in IoT, enabling faster data processing, reduced latency, and improved reliability. This paper explores the advantages of edge computing over traditional cloud-based IoT architectures. It discusses applications in autonomous vehicles, industrial automation, and healthcare monitoring. Challenges such as data security, power consumption, and scalability are examined. Case studies highlight successful edge computing implementations in IoT ecosystems, concluding with insights into the future of decentralized data processing for enhanced efficiency and decision-making.