标题:Efficient data collection with spatial clustering in time constraint WSN applications
作者:Yang, Zhimin ;Ren, Kaijun ;Liu, Chang
通讯作者:Yang, Z
作者机构:[Yang, Zhimin ] Department of Computer, Shandong University at Weihai, Weihai, 264209, China;[Liu, Chang ] Faculty of Engineering and Information Tech 更多
会议名称:Joint International Conference on Pervasive Computing and the Networked World, ICPCA/SWS 2012
会议日期:28 November 2012 through 30 November 2012
来源:Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
出版年:2013
卷:7719 LNCS
页码:728-742
DOI:10.1007/978-3-642-37015-1_64
关键词:clustering algorithm; energy efficiency; event monitoring; query evaluation; reaction time; real time applications; wireless sensor networks
摘要:With the development of wireless sensor networks, more and more applications require the high data rate and real time decision making based on sensing data. In this paper, to achieve energy efficiency and quick reaction to real time event monitoring, a novel algorithms for collecting WSN data based on clustering is proposed. The algorithm depends on the similarity to cluster sensor nodes. In every cluster, only one representative node needs to report its data. Hence, the time slots of other nodes can be saved. When there is an event monitoring query offered by users, the query evaluation can return a query answer as soon as possible. Significant reaction time then can be saved. Furthermore, with the reduced reaction time, less sensor nodes are involved in the data communication, the energy efficiency can also be achieved in terms of transmission because of longer sleeping time can be guaranteed. © 2013 Springer-Verlag.
收录类别:EI;SCOPUS
Scopus被引频次:1
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84875108932&doi=10.1007%2f978-3-642-37015-1_64&partnerID=40&md5=fbdf6efda723fad7b5e363b6753b120f
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