M2M group-based AI routing protocol for IoT networks

IF 4.2 3区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Computer Communications Pub Date : 2025-12-01 Epub Date: 2025-10-17 DOI:10.1016/j.comcom.2025.108338
Jaime Lloret , Jesús Tomás , Pedro Luis González Ramírez , Martín Jiménez-Piedrahita , Milos Stojmenovic
{"title":"M2M group-based AI routing protocol for IoT networks","authors":"Jaime Lloret ,&nbsp;Jesús Tomás ,&nbsp;Pedro Luis González Ramírez ,&nbsp;Martín Jiménez-Piedrahita ,&nbsp;Milos Stojmenovic","doi":"10.1016/j.comcom.2025.108338","DOIUrl":null,"url":null,"abstract":"<div><div>Internet of Things (IoT) networks are heterogeneous networks that offer different services depending on their application environment through smart devices (also called nodes). Machine-to-Machine (M2M) routing protocols provide interconnection between nodes. However, IoT and Internet of Everything (IoE) networks are limited to constraints defined by the scenario of the services they implement. For this reason, in this paper, we propose a new routing protocol that uses Artificial intelligence (AI) to interconnect the nodes of an IoT network efficiently. The AI decides the routes based on the tables created by the Publish/Subscribe (Pub/Sub) communication system, relating it to the dataset of features of each device connected in the network (content-based filtering). Consequently, the IoT gateway selects the best node that can provide it without compromising the performance of the network. We performed a routing protocol simulation between the machine that requests resources and who provides them. The proposal is based on a multi-objective optimization technique that uses evolutionary algorithms. The results show that the algorithm selects the most optimal node that can provide the requested resources without any constraint violation and evaluates the most efficient criteria. Consequently, the proposed algorithm can be applied to provide IoT services attending to several constraints derived from the scenarios where the system is implemented.</div></div>","PeriodicalId":55224,"journal":{"name":"Computer Communications","volume":"244 ","pages":"Article 108338"},"PeriodicalIF":4.2000,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Communications","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0140366425002956","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/10/17 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0

Abstract

Internet of Things (IoT) networks are heterogeneous networks that offer different services depending on their application environment through smart devices (also called nodes). Machine-to-Machine (M2M) routing protocols provide interconnection between nodes. However, IoT and Internet of Everything (IoE) networks are limited to constraints defined by the scenario of the services they implement. For this reason, in this paper, we propose a new routing protocol that uses Artificial intelligence (AI) to interconnect the nodes of an IoT network efficiently. The AI decides the routes based on the tables created by the Publish/Subscribe (Pub/Sub) communication system, relating it to the dataset of features of each device connected in the network (content-based filtering). Consequently, the IoT gateway selects the best node that can provide it without compromising the performance of the network. We performed a routing protocol simulation between the machine that requests resources and who provides them. The proposal is based on a multi-objective optimization technique that uses evolutionary algorithms. The results show that the algorithm selects the most optimal node that can provide the requested resources without any constraint violation and evaluates the most efficient criteria. Consequently, the proposed algorithm can be applied to provide IoT services attending to several constraints derived from the scenarios where the system is implemented.
物联网网络中基于M2M组的AI路由协议
物联网(IoT)网络是一种异构网络,通过智能设备(也称为节点)根据其应用环境提供不同的服务。机器对机器(M2M)路由协议提供节点之间的互连。然而,物联网和万物互联(IoE)网络受限于它们实现的服务场景所定义的约束。因此,在本文中,我们提出了一种新的路由协议,该协议使用人工智能(AI)有效地互连物联网网络的节点。AI根据发布/订阅(Pub/Sub)通信系统创建的表来决定路由,并将其与网络中连接的每个设备的特征数据集(基于内容的过滤)相关联。因此,物联网网关选择可以在不影响网络性能的情况下提供它的最佳节点。我们在请求资源的机器和提供资源的机器之间执行了路由协议模拟。该方案基于一种采用进化算法的多目标优化技术。结果表明,该算法在不违反约束的情况下选择最优节点,并评估最有效的准则。因此,所提出的算法可以应用于提供物联网服务,以满足来自系统实施场景的几个约束。
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
Computer Communications
Computer Communications 工程技术-电信学
CiteScore
14.10
自引率
5.00%
发文量
397
审稿时长
66 days
期刊介绍: Computer and Communications networks are key infrastructures of the information society with high socio-economic value as they contribute to the correct operations of many critical services (from healthcare to finance and transportation). Internet is the core of today''s computer-communication infrastructures. This has transformed the Internet, from a robust network for data transfer between computers, to a global, content-rich, communication and information system where contents are increasingly generated by the users, and distributed according to human social relations. Next-generation network technologies, architectures and protocols are therefore required to overcome the limitations of the legacy Internet and add new capabilities and services. The future Internet should be ubiquitous, secure, resilient, and closer to human communication paradigms. Computer Communications is a peer-reviewed international journal that publishes high-quality scientific articles (both theory and practice) and survey papers covering all aspects of future computer communication networks (on all layers, except the physical layer), with a special attention to the evolution of the Internet architecture, protocols, services, and applications.
×
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
小红书