A Lightweight Slice-Based Quality of Service Manager for IoT

Author:

Oliveira-Jr AntonioORCID,Cardoso KleberORCID,Sousa FilipeORCID,Moreira WaldirORCID

Abstract

Industry 4.0 and digital farming rely on modern communication and computation technologies such as the Internet of Things (IoT) to provide smart manufacturing and farming systems. Having in mind a scenario with a high number of heterogeneous connected devices, with varying technologies and characteristics, the deployment of Industry 4.0 and digital farming solutions faces innovative challenges in different domains (e.g., communications, security, quality of service). Concepts such as network slicing and Software-Defined Networking (SDN) provide the means for faster, simpler, scalable and flexible solutions in order to serve a wide range of applications with different Quality-of-Service (QoS) requirements. Hence, this paper proposes a lightweight slice-based QoS manager for non-3GPP IoT focusing on different use cases and their varying requirements and characteristics. Our focus in this work is on non-3GPP IoT unlicensed wireless technologies and not specifically the end-to-end network slice perspective as described in 5G standards. We implemented and evaluated different QoS models in distinct scenarios in a real experimental environment in order to illustrate the potential of the proposed solution.

Funder

European Regional Development Fund

Publisher

MDPI AG

Subject

General Engineering

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. IOT-Based Analysis for Effective Continuous Monitoring Prevent Fraudulent Intrusions in Finance and Banking;2023 International Conference on Artificial Intelligence and Smart Communication (AISC);2023-01-27

2. Assessment Based On IoT For Efficient Information Surveillance Regarding Harmful Strikes Upon Financial Collection;2023 International Conference on Computer Communication and Informatics (ICCCI);2023-01-23

3. Traffic Response System Based on Data Mining and Internet of Things (Iot) For Preventing Accidents;2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE);2022-04-28

4. Sustainable Business Model in the Product-Service System: Analysis of Global Research and Associated EU Legislation;International Journal of Environmental Research and Public Health;2021-09-26

5. Mobility- and Energy-Aware Cooperative Edge Offloading for Dependent Computation Tasks;Network;2021-09-04

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3