Edge Computing for Internet of Things

Abstract

This paper investigates the role of edge computing in enhancing the efficiency of Internet of Things (IoT) ecosystems. By processing data closer to the source, edge computing reduces latency and bandwidth usage, enabling real-time data analysis and decision-making. The study addresses the architectural frameworks necessary for implementing edge computing solutions and evaluates their performance in various IoT applications, from smart cities to healthcare systems. The findings demonstrate that edge computing is pivotal in managing the massive data streams generated by IoT devices, offering a scalable and efficient alternative to traditional cloud-based solutions.