Clustering-based routing for top-k querying in wireless sensor networks

Author:

Mo Shangfeng,Chen Hong,Li Yinglong

Abstract

Abstract A large-scale wireless sensor networks (WSNs) can be deployed for top-k querying applications. There are many top-k querying algorithms which are based on traditional routing approaches. In this article, we proposed a clustering-based routing for top-k querying (CRTQ) in WSNs to save the energy consumption and extend the network lifetime. The proposed scheme consists of two parts: one is the cluster formation algorithm; another part is the inter-cluster choosing the relay cluster head algorithm. Moreover, we adopt a corresponding dynamic clustering algorithm. Our experimental result shows that CRTQ substantially outperforms the existing tree-based approaches and clustering-based approaches in terms of both energy consumption and network lifetime.

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Computer Science Applications,Signal Processing

Reference20 articles.

1. Institute of Electrical and Electronics Engineers Inc: Ten emerging technologies that will change your world. IEEE Eng Manag Rev 2004, 32: 20-30.

2. Raghavendra CS, Sivalingam KM, Zhati T: Wireless Sensor Networks. Kluwer Academic Publish-ers; 2004:185-252.

3. Wu M, Xu J, Tang X, Lee W-C: Top-k monitoring in wireless sensor networks. IEEE Trans Knowl Data Eng 2007, 19(7):962-976.

4. Cho Y, Son J, Chung YD: POT: an efficient top-k monitoring method for spatially correlated sensor readings. 5th International Workshop on Data Management for Sensor Networks, DMSN'08, in Conjunction with the 34th International Conference on Very Large Data Bases 2008, 8-13.

5. Yeo MH, Seong DO, Yoo JS: PRIM: priority-based top-k monitoring in wireless sensor networks. International Symposium on Computer Science and Its Applications, Proceeding, CSA 2008 2008, 326-331.

Cited by 16 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

全球学者库

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"全球学者库"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前全球学者库共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2023 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3