如何获取两层无线传感器网络中最常见的查询类型?

T. V. Bui, Van H. Dang, I. Echizen, T. Nguyen
{"title":"如何获取两层无线传感器网络中最常见的查询类型?","authors":"T. V. Bui, Van H. Dang, I. Echizen, T. Nguyen","doi":"10.1109/NGMAST.2013.28","DOIUrl":null,"url":null,"abstract":"Wireless Sensor Networks (WSNs) become more and more popular nowadays. They are applied not only in civilian but also in military. However, when having numerous data, we have to preserve them secretly and can acknowledge which information we need. In this paper, while keeping data privacy, we focus on four queries: value query, range query, outlier query and hot items. Moreover, we can identify outlier values with high accuracy not only in WSNs but also in data stream. In particular, if we deal with less than 200000 values, it just takes less than 0.03 seconds when we find up to 3 hot items or 3 outlier values, and 50 seconds when we use the value query.","PeriodicalId":369374,"journal":{"name":"2013 Seventh International Conference on Next Generation Mobile Apps, Services and Technologies","volume":"202 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"How Can We Acquire the Most Common Query Types in Two-Tiered Wireless Sensor Networks?\",\"authors\":\"T. V. Bui, Van H. Dang, I. Echizen, T. Nguyen\",\"doi\":\"10.1109/NGMAST.2013.28\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Wireless Sensor Networks (WSNs) become more and more popular nowadays. They are applied not only in civilian but also in military. However, when having numerous data, we have to preserve them secretly and can acknowledge which information we need. In this paper, while keeping data privacy, we focus on four queries: value query, range query, outlier query and hot items. Moreover, we can identify outlier values with high accuracy not only in WSNs but also in data stream. In particular, if we deal with less than 200000 values, it just takes less than 0.03 seconds when we find up to 3 hot items or 3 outlier values, and 50 seconds when we use the value query.\",\"PeriodicalId\":369374,\"journal\":{\"name\":\"2013 Seventh International Conference on Next Generation Mobile Apps, Services and Technologies\",\"volume\":\"202 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-09-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 Seventh International Conference on Next Generation Mobile Apps, Services and Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NGMAST.2013.28\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Seventh International Conference on Next Generation Mobile Apps, Services and Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NGMAST.2013.28","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

无线传感器网络(WSNs)越来越受到人们的欢迎。它们不仅应用于民用,也应用于军事。然而,当拥有大量的数据时,我们必须秘密地保存它们,并且可以确认我们需要哪些信息。本文在保证数据隐私的前提下,重点研究了四种查询:值查询、范围查询、离群值查询和热点项查询。此外,我们不仅可以在无线传感器网络中,而且可以在数据流中高精度地识别离群值。特别是,如果我们处理少于200000个值,当我们找到最多3个热点项或3个异常值时,只需不到0.03秒,而当我们使用值查询时只需50秒。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
How Can We Acquire the Most Common Query Types in Two-Tiered Wireless Sensor Networks?
Wireless Sensor Networks (WSNs) become more and more popular nowadays. They are applied not only in civilian but also in military. However, when having numerous data, we have to preserve them secretly and can acknowledge which information we need. In this paper, while keeping data privacy, we focus on four queries: value query, range query, outlier query and hot items. Moreover, we can identify outlier values with high accuracy not only in WSNs but also in data stream. In particular, if we deal with less than 200000 values, it just takes less than 0.03 seconds when we find up to 3 hot items or 3 outlier values, and 50 seconds when we use the value query.
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
×
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:604180095
Book学术官方微信