Edge computing: Revolutionizing data processing for IoT applications

Abstract

Edge computing is emerging as a transformative solution for managing the vast amounts of data generated by the Internet of Things (IoT). By decentralizing data processing and bringing computation closer to the data source, edge computing addresses critical limitations of traditional cloud computing, including latency, bandwidth constraints, and security vulnerabilities. This review explores the key benefits of edge computing, such as reduced latency, bandwidth optimization, improved reliability, enhanced data privacy, and scalability. It discusses the architecture and components of edge computing, highlighting the roles of edge devices, edge nodes, and fog computing. The review also examines various use cases across sectors, including autonomous vehicles, smart cities, healthcare, industrial IoT, and retail. Finally, the review considers the challenges facing edge computing, including hardware limitations, network security, interoperability, and cost considerations. The future outlook suggests that advancements in 5G technology and artificial intelligence will further enhance the potential of edge computing in driving IoT innovations.