A Systematic Review of Edge and Fog Computing Technologies for Internet of Things Applications
TL;DR
This survey will evaluate the state-of-the-art solutions from 2020-2025, summarize the major points of interest, identify gaps along with future directions such as possible integration with 6G networks, digital twins, quantum resistant security mechanisms and practical Methods for creating sustainable edge infrastructures.
Abstract
The emergence of the Internet of Things (IoT) has led to the creation of a vast amount of data; this has highlighted serious problems with cloud-based data processing, such as high latency, excessive bandwidth consumption and a few holes in privacy. Edge computing and fog computing represent a significant change in how process data. By moving closer to the source of the data, edge/fog computing allows for real-time processing of data, reduced latency and improved scalability of systems, especially during periods of sudden increases in demand. This survey reviews current research in edge and fog computing for IoT, including overall architecture, resource management, recurrent security issues, how artificial intelligence and machine learning are incorporated, and what application domains are receiving the most attention (healthcare, smart city, industrial automation and transportation). The survey will evaluate the state-of-the-art solutions from 2020-2025, summarize the major points of interest, identify gaps along with future directions such as possible integration with 6G networks, digital twins, quantum resistant security mechanisms and practical Methods for creating sustainable edge infrastructures.