Network resource management mechanisms in SDN enabled WSNs: A comprehensive review

IF 13.3 1区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Computer Science Review Pub Date : 2023-08-01 DOI:10.1016/j.cosrev.2023.100569

Vikas Tyagi, Samayveer Singh

{"title":"Network resource management mechanisms in SDN enabled WSNs: A comprehensive review","authors":"Vikas Tyagi, Samayveer Singh","doi":"10.1016/j.cosrev.2023.100569","DOIUrl":null,"url":null,"abstract":"<div>Wireless technologies usually have very limited computing, memory, and battery power that require the optimal management of network resources to increase network performance. The optimization of these network resources provides an efficient network topology, traffic control, routing, and data aggregation. This study presents a qualitative and quantitative investigation to evaluate the efficient network resource management mechanisms for software defined wireless sensor networks (SDN-enabled WSNs) from the beginning of network design to reliable data delivery. In this paper, a taxonomy of network resource management research studies is proposed. A detailed analysis of SDN-enabled WSNs architecture, SDN controllers, topology discovery, routing approaches, flow rules installation, and data aggregation is also discussed. Furthermore, the comparative analysis of resource provisioning methods along with various simulation tools is presented. Moreover, this review outlines open research challenges and prospective future directions for network resource management in SDN-enabled WSNs.</div>","PeriodicalId":48633,"journal":{"name":"Computer Science Review","volume":"49 ","pages":"Article 100569"},"PeriodicalIF":13.3000,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Science Review","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1574013723000369","RegionNum":1,"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: 1

Abstract

Wireless technologies usually have very limited computing, memory, and battery power that require the optimal management of network resources to increase network performance. The optimization of these network resources provides an efficient network topology, traffic control, routing, and data aggregation. This study presents a qualitative and quantitative investigation to evaluate the efficient network resource management mechanisms for software defined wireless sensor networks (SDN-enabled WSNs) from the beginning of network design to reliable data delivery. In this paper, a taxonomy of network resource management research studies is proposed. A detailed analysis of SDN-enabled WSNs architecture, SDN controllers, topology discovery, routing approaches, flow rules installation, and data aggregation is also discussed. Furthermore, the comparative analysis of resource provisioning methods along with various simulation tools is presented. Moreover, this review outlines open research challenges and prospective future directions for network resource management in SDN-enabled WSNs.

查看原文本刊更多论文

基于SDN的wsn网络资源管理机制综述

无线技术通常具有非常有限的计算、内存和电池电量，需要对网络资源进行优化管理以提高网络性能。这些网络资源的优化提供了高效的网络拓扑、流量控制、路由和数据聚合。本研究提供了一项定性和定量的调查，以评估软件定义的无线传感器网络（支持SDN的传感器网络）从网络设计之初到可靠数据传输的有效网络资源管理机制。本文提出了网络资源管理研究的分类法。还详细分析了支持SDN的WSN架构、SDN控制器、拓扑发现、路由方法、流规则安装和数据聚合。此外，还对资源配置方法与各种模拟工具进行了比较分析。此外，这篇综述概述了支持SDN的无线传感器网络中网络资源管理的开放性研究挑战和未来发展方向。

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 Science Review Computer Science-General Computer Science

CiteScore

32.70

自引率

0.00%

发文量

审稿时长

51 days

期刊介绍： Computer Science Review, a publication dedicated to research surveys and expository overviews of open problems in computer science, targets a broad audience within the field seeking comprehensive insights into the latest developments. The journal welcomes articles from various fields as long as their content impacts the advancement of computer science. In particular, articles that review the application of well-known Computer Science methods to other areas are in scope only if these articles advance the fundamental understanding of those methods.