Event matching based on subscriber category in sensor cloud

S. Grace, M. Sumalatha
{"title":"Event matching based on subscriber category in sensor cloud","authors":"S. Grace, M. Sumalatha","doi":"10.1109/ICRTIT.2014.6996171","DOIUrl":null,"url":null,"abstract":"Sensor cloud infrastructure is composed of wireless sensor network and cloud computing technology. The limitation of wireless sensor network can be overcome by integrating it with cloud. The sensor data are collected and stored in cloud for processing that helps to make real time alert in critical situation used for future analysis. Distributing the sensor data to appropriate subscriber is more important. In existing work many event matching algorithms are discussed. The matching is performed on the basis of their predicates and requires more space for indexing all the predicate values. In our proposed work publisher/subscriber model has been taken. In the first stage, subscriptions are categorized on the basis of their privilege and in next stage the events will be matched to the subscription. By this method the subscription storing and matching can be made easier and faster.","PeriodicalId":422275,"journal":{"name":"2014 International Conference on Recent Trends in Information Technology","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Recent Trends in Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRTIT.2014.6996171","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

Sensor cloud infrastructure is composed of wireless sensor network and cloud computing technology. The limitation of wireless sensor network can be overcome by integrating it with cloud. The sensor data are collected and stored in cloud for processing that helps to make real time alert in critical situation used for future analysis. Distributing the sensor data to appropriate subscriber is more important. In existing work many event matching algorithms are discussed. The matching is performed on the basis of their predicates and requires more space for indexing all the predicate values. In our proposed work publisher/subscriber model has been taken. In the first stage, subscriptions are categorized on the basis of their privilege and in next stage the events will be matched to the subscription. By this method the subscription storing and matching can be made easier and faster.
传感器云中基于用户类别的事件匹配
传感器云基础设施由无线传感器网络和云计算技术组成。通过将无线传感器网络与云集成,可以克服无线传感器网络的局限性。传感器数据被收集并存储在云中进行处理,有助于在紧急情况下实时警报,用于未来分析。将传感器数据分发给合适的用户更为重要。在已有的工作中,讨论了许多事件匹配算法。匹配是基于它们的谓词执行的,并且需要更多的空间来索引所有谓词值。在我们建议的工作中,采用了发布者/订阅者模型。在第一阶段,根据订阅的权限对其进行分类,在下一阶段,事件将与订阅相匹配。通过这种方法可以使订阅的存储和匹配更容易、更快。
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