Data collection for widely distributed mass of sensors

Attila Hideg, L. Blázovics, K. Csorba, Marton Gotzy
{"title":"Data collection for widely distributed mass of sensors","authors":"Attila Hideg, L. Blázovics, K. Csorba, Marton Gotzy","doi":"10.1109/COGINFOCOM.2016.7804548","DOIUrl":null,"url":null,"abstract":"Due to the increasing computational capacity of embedded systems, it has now become possible to monitor a given area efficiently by using a mass of low-cost sensors. However, the collection and analysis of such big data is still an open question from the perspective of energy efficiency. In this article will show a concept which covers the whole lifecycle of such huge scale sensor networks. We introduce a deployment and maintenance solution for uncharted areas. We present a method for gathering the measured data of each sensor and we will show a system for analyzing and visualizing the collected data.","PeriodicalId":440408,"journal":{"name":"2016 7th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 7th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COGINFOCOM.2016.7804548","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12

Abstract

Due to the increasing computational capacity of embedded systems, it has now become possible to monitor a given area efficiently by using a mass of low-cost sensors. However, the collection and analysis of such big data is still an open question from the perspective of energy efficiency. In this article will show a concept which covers the whole lifecycle of such huge scale sensor networks. We introduce a deployment and maintenance solution for uncharted areas. We present a method for gathering the measured data of each sensor and we will show a system for analyzing and visualizing the collected data.
广泛分布的大量传感器的数据收集
由于嵌入式系统的计算能力不断提高,现在已经可以通过使用大量低成本的传感器来有效地监测给定区域。然而,从能源效率的角度来看,这种大数据的收集和分析仍然是一个悬而未决的问题。在这篇文章中,我们将展示一个概念,它涵盖了这种大规模传感器网络的整个生命周期。我们为未知领域引入了部署和维护解决方案。我们提出了一种收集每个传感器测量数据的方法,我们将展示一个分析和可视化收集数据的系统。
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
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信