Dynamic Data Aggregation in Wireless Sensor Networks

S. Commuri, V. Tadigotla
{"title":"Dynamic Data Aggregation in Wireless Sensor Networks","authors":"S. Commuri, V. Tadigotla","doi":"10.1109/ISIC.2007.4450851","DOIUrl":null,"url":null,"abstract":"Performance improvement in wireless sensor networks (WSNs) through the use of reconfigurable cluster heads is addressed in this paper. The performance of a WSN is limited by the scarce on-board power in each sensor node. Since the sensed data in the WSN is transmitted to a sink from node to node in a multi-hop fashion, elimination of the redundancies in the data and aggregation of the data from multiple sources can improve the throughput and lifetime of the network. This, in practice, is infeasible because the aggregation to be performed depends on the requirements of the end user/application and is either unknown at the time of deployment or changes over time. In this paper, the problem of implementing dynamic data aggregation in WSNs is addressed through the design of reconfigurable cluster heads (RCHs) using Field Programmable Gate Arrays (FPGAs). Our results demonstrate that different data aggregation algorithms can be efficiently implemented on the RCHs in run-time. Such an implementation provides the necessary flexibility demanded by applications, while resulting in significant reduction in the query processing time and the overall power consumption in the network.","PeriodicalId":184867,"journal":{"name":"2007 IEEE 22nd International Symposium on Intelligent Control","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 IEEE 22nd International Symposium on Intelligent Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISIC.2007.4450851","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 14

Abstract

Performance improvement in wireless sensor networks (WSNs) through the use of reconfigurable cluster heads is addressed in this paper. The performance of a WSN is limited by the scarce on-board power in each sensor node. Since the sensed data in the WSN is transmitted to a sink from node to node in a multi-hop fashion, elimination of the redundancies in the data and aggregation of the data from multiple sources can improve the throughput and lifetime of the network. This, in practice, is infeasible because the aggregation to be performed depends on the requirements of the end user/application and is either unknown at the time of deployment or changes over time. In this paper, the problem of implementing dynamic data aggregation in WSNs is addressed through the design of reconfigurable cluster heads (RCHs) using Field Programmable Gate Arrays (FPGAs). Our results demonstrate that different data aggregation algorithms can be efficiently implemented on the RCHs in run-time. Such an implementation provides the necessary flexibility demanded by applications, while resulting in significant reduction in the query processing time and the overall power consumption in the network.
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
无线传感器网络中的动态数据聚合
通过使用可重构簇头来提高无线传感器网络(WSNs)的性能。无线传感器网络的性能受到每个传感器节点机载功率不足的限制。由于WSN中的感测数据以多跳方式在节点之间传输到接收器,因此消除数据冗余和聚合来自多个源的数据可以提高网络的吞吐量和生命周期。在实践中,这是不可行的,因为要执行的聚合取决于最终用户/应用程序的需求,并且在部署时是未知的,或者随着时间的推移而变化。本文通过使用现场可编程门阵列(fpga)设计可重构簇头(RCHs)来解决WSNs中实现动态数据聚合的问题。结果表明,不同的数据聚合算法可以在RCHs上有效地实现。这样的实现提供了应用程序所需的必要灵活性,同时显著减少了查询处理时间和网络中的总体功耗。
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
Two-Degree-of-Freedom Control of a Self-Sensing Micro-Actuator for HDD A Dual Mode Reference Governor for Discrete Time Systems with State and Control Constraints A Potential Field Approach for Controlling a Mobile Robot to Track a Moving Target Algorithm for variational inequality problems based on a gradient dynamical system designed using a control Liapunov function Optimal Tuning of PID Parameters Using Iterative Learning Approach
×
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