Swarm intelligence techniques and their applications in fog/edge computing: an in-depth review

IF 13.9 2区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Reyhane Ghafari, Najme Mansouri
{"title":"Swarm intelligence techniques and their applications in fog/edge computing: an in-depth review","authors":"Reyhane Ghafari,&nbsp;Najme Mansouri","doi":"10.1007/s10462-025-11351-2","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":8449,"journal":{"name":"Artificial Intelligence Review","volume":"58 11","pages":""},"PeriodicalIF":13.9000,"publicationDate":"2025-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10462-025-11351-2.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Artificial Intelligence Review","FirstCategoryId":"94","ListUrlMain":"https://link.springer.com/article/10.1007/s10462-025-11351-2","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 0

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.

群智能技术及其在雾/边缘计算中的应用综述
物联网(IoT)的最新进展连接了通常资源和处理能力有限的各种设备。人工智能(AI)在雾计算和边缘计算中的应用得到了群智能(SI)技术的极大增强。这些SI方法改进了资源分配、任务调度和负载平衡,使分布式系统更高效,对不断变化的条件更敏感。本文系统回顾了91项研究(2019-2023)关于SI在雾/边缘环境中的应用。我们比较了雾计算、边缘计算和云计算范式,并使用案例研究、性能指标和评估工具分析了基于si的方法。这篇综述指出了当前基于si的方法的主要优点和局限性,并强调了开放的问题和未来的研究方向,以增强分布式计算系统。这些见解旨在指导在雾/边缘环境中开发更高效、响应更迅速的人工智能驱动的资源管理策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Artificial Intelligence Review
Artificial Intelligence Review 工程技术-计算机:人工智能
CiteScore
22.00
自引率
3.30%
发文量
194
审稿时长
5.3 months
期刊介绍: Artificial Intelligence Review, a fully open access journal, publishes cutting-edge research in artificial intelligence and cognitive science. It features critical evaluations of applications, techniques, and algorithms, providing a platform for both researchers and application developers. The journal includes refereed survey and tutorial articles, along with reviews and commentary on significant developments in the field.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信