Packet Damage-Resistant Analysis Using a Data Mining Mechanism in Wireless Sensor Networks

Jinsuk Baek, P. Fisher
{"title":"Packet Damage-Resistant Analysis Using a Data Mining Mechanism in Wireless Sensor Networks","authors":"Jinsuk Baek, P. Fisher","doi":"10.1109/IE.2017.27","DOIUrl":null,"url":null,"abstract":"Wireless sensor network supports reliable monitoring of the given network based upon the data transmitted from the sensors. However, the feasibility can be maintained only when the delivered data are fairly reliable without any damage. Since data error is not an uncommon event in wireless sensor networks, the validity of the decision making strongly depends upon the stableness of the data analysis technique with partially damaged data. In this paper, we introduce a data mining mechanism and apply it to the processing of data which are missing or inconsistent.","PeriodicalId":306693,"journal":{"name":"2017 International Conference on Intelligent Environments (IE)","volume":"302 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Intelligent Environments (IE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IE.2017.27","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Wireless sensor network supports reliable monitoring of the given network based upon the data transmitted from the sensors. However, the feasibility can be maintained only when the delivered data are fairly reliable without any damage. Since data error is not an uncommon event in wireless sensor networks, the validity of the decision making strongly depends upon the stableness of the data analysis technique with partially damaged data. In this paper, we introduce a data mining mechanism and apply it to the processing of data which are missing or inconsistent.
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
基于数据挖掘机制的无线传感器网络数据包抗损伤分析
无线传感器网络支持基于从传感器传输的数据对给定网络进行可靠监控。但是,只有在交付的数据相当可靠且没有任何损坏的情况下,才能维持可行性。由于数据错误在无线传感器网络中屡见不鲜,在数据部分损坏的情况下,决策的有效性很大程度上取决于数据分析技术的稳定性。本文引入了一种数据挖掘机制,并将其应用于缺失或不一致数据的处理。
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
Understanding Collaboration in Global Software Engineering (GSE) Teams with the Use of Sensors: Introducing a Multi-sensor Setting for Observing Social and Human Aspects in Project Management An Application to Enrich the Study of Auditory Emotion Recognition Searching for Behavior Patterns of Students in Different Training Modalities through Learning Management Systems Computational Sustainability for Smart City Design Relation Extraction via Position-Enhanced Convolutional Neural Network
×
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