对蜂窝物联网随机接入延迟的简单看法

F. J. Dian, R. Vahidnia
{"title":"对蜂窝物联网随机接入延迟的简单看法","authors":"F. J. Dian, R. Vahidnia","doi":"10.1109/IEMCON51383.2020.9284948","DOIUrl":null,"url":null,"abstract":"It is important for an IoT device to be able to access the network with no or small delay in order to send its data to the Internet quickly. Particularly, in real time applications that time is of the essence, this delay should be small. The period of time from when an IoT device initiates a Random Access (RA) process to get access to the network until it sends its data is called the latency. Since the latency is dependent on the number of IoT devices in the network, the way that each device generates its traffic, and many other factors, it is extremely challenging to accurately estimate the latency. In this paper, we provide a simplistic view to estimate the latency in various situations based on the number of collisions, repetition, and data size for various RA processes belonging to different Cellular Internet of Things (CIoT) technology enhancements. To simplify the situation, we only discuss the most important factors. This simplistic view gives the reader a sense of the trimming of different parts of the RA process without using a complex simulator or analytical model.","PeriodicalId":6871,"journal":{"name":"2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"53 1","pages":"0391-0395"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A Simplistic View on Latency of Random Access in Cellular Internet of Things\",\"authors\":\"F. J. Dian, R. Vahidnia\",\"doi\":\"10.1109/IEMCON51383.2020.9284948\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"It is important for an IoT device to be able to access the network with no or small delay in order to send its data to the Internet quickly. Particularly, in real time applications that time is of the essence, this delay should be small. The period of time from when an IoT device initiates a Random Access (RA) process to get access to the network until it sends its data is called the latency. Since the latency is dependent on the number of IoT devices in the network, the way that each device generates its traffic, and many other factors, it is extremely challenging to accurately estimate the latency. In this paper, we provide a simplistic view to estimate the latency in various situations based on the number of collisions, repetition, and data size for various RA processes belonging to different Cellular Internet of Things (CIoT) technology enhancements. To simplify the situation, we only discuss the most important factors. This simplistic view gives the reader a sense of the trimming of different parts of the RA process without using a complex simulator or analytical model.\",\"PeriodicalId\":6871,\"journal\":{\"name\":\"2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)\",\"volume\":\"53 1\",\"pages\":\"0391-0395\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-11-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEMCON51383.2020.9284948\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEMCON51383.2020.9284948","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

为了快速将数据发送到互联网,物联网设备能够在没有或很小延迟的情况下访问网络是很重要的。特别是,在时间至关重要的实时应用程序中,该延迟应该很小。从物联网设备启动随机访问(RA)进程访问网络到发送其数据的时间段称为延迟。由于延迟取决于网络中物联网设备的数量、每个设备产生流量的方式以及许多其他因素,因此准确估计延迟极具挑战性。在本文中,我们提供了一个简单的视图来估计各种情况下的延迟,该延迟基于属于不同蜂窝物联网(CIoT)技术增强的各种RA过程的碰撞次数、重复次数和数据大小。为了简化情况,我们只讨论最重要的因素。这种简单的视图使读者在不使用复杂的模拟器或分析模型的情况下就能感受到RA过程的不同部分的修剪。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
A Simplistic View on Latency of Random Access in Cellular Internet of Things
It is important for an IoT device to be able to access the network with no or small delay in order to send its data to the Internet quickly. Particularly, in real time applications that time is of the essence, this delay should be small. The period of time from when an IoT device initiates a Random Access (RA) process to get access to the network until it sends its data is called the latency. Since the latency is dependent on the number of IoT devices in the network, the way that each device generates its traffic, and many other factors, it is extremely challenging to accurately estimate the latency. In this paper, we provide a simplistic view to estimate the latency in various situations based on the number of collisions, repetition, and data size for various RA processes belonging to different Cellular Internet of Things (CIoT) technology enhancements. To simplify the situation, we only discuss the most important factors. This simplistic view gives the reader a sense of the trimming of different parts of the RA process without using a complex simulator or analytical model.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Financial Time Series Stock Price Prediction using Deep Learning Development of a Low-cost LoRa based SCADA system for Monitoring and Supervisory Control of Small Renewable Energy Generation Systems A Systematic Literature Review in Causal Association Rules Mining Distance-Based Anomaly Detection for Industrial Surfaces Using Triplet Networks Analysis of Requirements for Autonomous Driving 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