NDLI: Efficient k-Dominant Skyline Processing in Wireless Sensor Networks

Content Provider	IEEE Xplore Digital Library
Author	Jianmei Huang Junchang Xin Guoren Wang Miao Li
Copyright Year	2009
Abstract	Wireless sensor network amalgamates sensing, computing and communication technologies. Because of the energy limitation of sensor nodes, how to manage the data collected by the sensor nodes energy-efficiently becomes the focus of the research recently. As the main mean of multi-decision and data mining, skyline query plays a more and more important role in sensing applications. However, as the increase of data dimensionality, skyline query results extend greatly, which not only obstacles the decision, but also costs most of the energy of the nodes. In this article, k-dominant skyline query is researched deeply to deal with the above problem. An energy-efficient $k$-dominant skyline query algorithm (EKS) is proposed to calculate the $k$-dominant skyline of the wireless sensor network. The experimental results show that EKS could reduce the communication cost of the sensor network,while it calculates the k-dominant skyline, therefore, prolong the life-span of it.
Starting Page	289
Ending Page	294
File Size	181342
Page Count	6
File Format	PDF
ISBN	9780769537450
DOI	10.1109/HIS.2009.273
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-12
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Temperature sensors Algorithm design and analysis Wireless sensor networks Fires wireless sensor network Energy efficiency Communications technology Computer networks Batteries skyline Energy management Monitoring
Content Type	Text
Resource Type	Article

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