Reliability and bandwidth aware routing in SDN-based fog computing for IoT applications

IF 4.4 3区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Ad Hoc Networks Pub Date : 2025-02-25 DOI:10.1016/j.adhoc.2025.103803
Parisa Valizadeh, Mohammad Hossein Yaghmaee, Yasser Sedaghat
{"title":"Reliability and bandwidth aware routing in SDN-based fog computing for IoT applications","authors":"Parisa Valizadeh,&nbsp;Mohammad Hossein Yaghmaee,&nbsp;Yasser Sedaghat","doi":"10.1016/j.adhoc.2025.103803","DOIUrl":null,"url":null,"abstract":"<div><div>Software-Defined Networking (SDN) and fog computing are pivotal in supporting computationally intensive tasks within Internet of Things (IoT) applications, enhancing efficiency and reliability. However, many IoT applications are constrained by communication paths prone to link failures, necessitating robust fault tolerance techniques to ensure reliable traffic flow. In particular, real-time IoT applications demand stringent reliability and bandwidth requirements (constraints), which are challenging to meet simultaneously. Although previous research has investigated SDN-based routing to improve reliability, developing a routing algorithm that satisfies both reliability and bandwidth constraints remains an NP-hard problem. In this paper, we propose two novel routing algorithms: Reliability Aware Bandwidth constrained Routing (RABR) and Reliability and Bandwidth Constrained Routing (RBCR), specifically designed for SDN-enabled environments. Our approach prioritizes service reliability while meeting strict reliability and bandwidth criteria. The proposed solution integrates several phases, including reliability aware and bandwidth constrained path routing and flow duplication through parallel/hybrid and sequential routing methods. Furthermore, we introduce a greedy heuristic algorithm, implemented by the SDN controller with an efficient time complexity. Simulation results demonstrate that our algorithm surpasses state-of-the-art approaches in critical metrics such as reliability, reliability-bandwidth success rate, and Runtime. As such, our solution emerges as a robust choice for SDN-enabled IoT environments.</div></div>","PeriodicalId":55555,"journal":{"name":"Ad Hoc Networks","volume":"172 ","pages":"Article 103803"},"PeriodicalIF":4.4000,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ad Hoc Networks","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1570870525000514","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0

Abstract

Software-Defined Networking (SDN) and fog computing are pivotal in supporting computationally intensive tasks within Internet of Things (IoT) applications, enhancing efficiency and reliability. However, many IoT applications are constrained by communication paths prone to link failures, necessitating robust fault tolerance techniques to ensure reliable traffic flow. In particular, real-time IoT applications demand stringent reliability and bandwidth requirements (constraints), which are challenging to meet simultaneously. Although previous research has investigated SDN-based routing to improve reliability, developing a routing algorithm that satisfies both reliability and bandwidth constraints remains an NP-hard problem. In this paper, we propose two novel routing algorithms: Reliability Aware Bandwidth constrained Routing (RABR) and Reliability and Bandwidth Constrained Routing (RBCR), specifically designed for SDN-enabled environments. Our approach prioritizes service reliability while meeting strict reliability and bandwidth criteria. The proposed solution integrates several phases, including reliability aware and bandwidth constrained path routing and flow duplication through parallel/hybrid and sequential routing methods. Furthermore, we introduce a greedy heuristic algorithm, implemented by the SDN controller with an efficient time complexity. Simulation results demonstrate that our algorithm surpasses state-of-the-art approaches in critical metrics such as reliability, reliability-bandwidth success rate, and Runtime. As such, our solution emerges as a robust choice for SDN-enabled IoT environments.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
求助全文
约1分钟内获得全文 去求助
来源期刊
Ad Hoc Networks
Ad Hoc Networks 工程技术-电信学
CiteScore
10.20
自引率
4.20%
发文量
131
审稿时长
4.8 months
期刊介绍: The Ad Hoc Networks is an international and archival journal providing a publication vehicle for complete coverage of all topics of interest to those involved in ad hoc and sensor networking areas. The Ad Hoc Networks considers original, high quality and unpublished contributions addressing all aspects of ad hoc and sensor networks. Specific areas of interest include, but are not limited to: Mobile and Wireless Ad Hoc Networks Sensor Networks Wireless Local and Personal Area Networks Home Networks Ad Hoc Networks of Autonomous Intelligent Systems Novel Architectures for Ad Hoc and Sensor Networks Self-organizing Network Architectures and Protocols Transport Layer Protocols Routing protocols (unicast, multicast, geocast, etc.) Media Access Control Techniques Error Control Schemes Power-Aware, Low-Power and Energy-Efficient Designs Synchronization and Scheduling Issues Mobility Management Mobility-Tolerant Communication Protocols Location Tracking and Location-based Services Resource and Information Management Security and Fault-Tolerance Issues Hardware and Software Platforms, Systems, and Testbeds Experimental and Prototype Results Quality-of-Service Issues Cross-Layer Interactions Scalability Issues Performance Analysis and Simulation of Protocols.
期刊最新文献
Editorial Board Sum rate maximization for RSMA aided small cells edge users using meta-learning variational quantum algorithm Reliability and bandwidth aware routing in SDN-based fog computing for IoT applications Collaborative multi-target-tracking via graph-based deep reinforcement learning in UAV swarm networks An optimizing geo-distributed edge layering with double deep Q-networks for predictive mobility-aware offloading in mobile edge computing
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1