A Cloud-Edge Collaboration Framework for Power Internet of Things Based on 5G networks

Libin Zheng, Jing Chen, Tonglei Liu, Bingnan Liu, Jianan Yuan, Ganghong Zhang
{"title":"A Cloud-Edge Collaboration Framework for Power Internet of Things Based on 5G networks","authors":"Libin Zheng, Jing Chen, Tonglei Liu, Bingnan Liu, Jianan Yuan, Ganghong Zhang","doi":"10.1109/icicn52636.2021.9673856","DOIUrl":null,"url":null,"abstract":"In order to make full use of the advantages of 5G networks and meet the requirement of communication performance by the massive growth of devices in the area of power Internet of things, it is necessary to study the collaborative working mechanism of edge computing and cloud computing and give solutions. Based on the communication characteristics of 5G networks, this paper constructs a cloud-edge collaboration framework for Power Internet of Things, and comprehensively judges the information communication process according to communication bandwidth, communication delay and reliability of information, for example selecting large bandwidth or low delay or both of them, processing at the edge or in the cloud, so as to reduce the cost of data storage, communication and processing, promote the utilization rate of 5G networks communication resources to achieve customization and maximum utilization. In this paper, through the combination of cloud modeling analysis and edge real-time decision-making, the five-tuple of task processing type and four-tuple of communication information type are defined, and the cloud edge collaborative communication method of two-level cooperation between edge and sensor equipment and between edge and cloud communication is proposed to achieve high-quality, high-performance, real-time communication for improving the efficiency of power terminals.","PeriodicalId":231379,"journal":{"name":"2021 IEEE 9th International Conference on Information, Communication and Networks (ICICN)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 9th International Conference on Information, Communication and Networks (ICICN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/icicn52636.2021.9673856","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

In order to make full use of the advantages of 5G networks and meet the requirement of communication performance by the massive growth of devices in the area of power Internet of things, it is necessary to study the collaborative working mechanism of edge computing and cloud computing and give solutions. Based on the communication characteristics of 5G networks, this paper constructs a cloud-edge collaboration framework for Power Internet of Things, and comprehensively judges the information communication process according to communication bandwidth, communication delay and reliability of information, for example selecting large bandwidth or low delay or both of them, processing at the edge or in the cloud, so as to reduce the cost of data storage, communication and processing, promote the utilization rate of 5G networks communication resources to achieve customization and maximum utilization. In this paper, through the combination of cloud modeling analysis and edge real-time decision-making, the five-tuple of task processing type and four-tuple of communication information type are defined, and the cloud edge collaborative communication method of two-level cooperation between edge and sensor equipment and between edge and cloud communication is proposed to achieve high-quality, high-performance, real-time communication for improving the efficiency of power terminals.
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
基于5G网络的电力物联网云边缘协作框架
为了充分利用5G网络的优势,满足电力物联网领域设备的大量增长对通信性能的要求,有必要研究边缘计算与云计算的协同工作机制并给出解决方案。本文根据5G网络的通信特点,构建电力物联网云边缘协同框架,根据信息的通信带宽、通信时延和可靠性对信息通信过程进行综合判断,如选择大带宽或低时延,或两者兼有,在边缘处理或在云端处理,从而降低数据存储、通信和处理成本。提升5G网络通信资源利用率,实现定制化和最大化利用。本文通过云建模分析与边缘实时决策相结合,定义了任务处理类型的五元组和通信信息类型的四元组,提出了边缘与传感器设备、边缘与云通信两级协作的云边缘协同通信方法,实现高质量、高性能、实时通信,提高电力终端的效率。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Research on Single Observation Station Target Tracking Based on UKF Algorithm Deep Reinforcement Learning Based Autonomous Exploration under Uncertainty with Hybrid Network on Graph A Wireless Resource Management and Virtualization Method for Integrated Satellite-Terrestrial Network Smartphone Haptic Applications for Visually Impaired Users Recursive Compressed Sensing of Doubly-selective Sky-Wave Channel in Shortwave OFDM Systems
×
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