Swarm intelligence techniques and their applications in fog/edge computing: an in-depth review
Year: 2025
Type: article
Abstract: Recent advances in the Internet of Things (IoT) have connected diverse devices that often have limited resources and processing power. Artificial intelligence (AI) applications in fog and edge computing are greatly enhanced by Swarm Intelligence (SI) techniques. These SI methods improve resource allocation, task scheduling, and load balancing, making distributed systems more efficient and responsive to changing conditions. This paper systematically reviews 91 studies (2019–2023) on SI applications in fog/edge environments. We compare fog, edge, and cloud computing paradigms and analyze SI-based approaches using case studies, performance metrics, and evaluation tools. This review identifies key advantages and limitations of current SI-based approaches and highlights open issues and future research directions to enhance distributed computing systems. These insights aim to guide the development of more efficient and responsive AI-driven resource management strategies in fog/edge environments.
Source: Artificial Intelligence Review
Authors: Reyhane Ghafari, Najme Mansouri
Institution: Shahid Bahonar University of Kerman
Language: English
Topic: IoT and Edge/Fog Computing
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $3,190
OpenAlex ID: W4413836799