NDLI: Progressive Skyline Query Processing in Wireless Sensor Networks

Content Provider	IEEE Xplore Digital Library
Author	Baichen Chen Weifa Liang
Copyright Year	2009
Abstract	With the further development of sensor techniques in wireless sensor networks (WSNs), it is becoming urgent that they should be able to support complicated queries like skyline query for multi-preference and decision making. In this paper, we consider skyline query evaluation in WSNs by devising evaluation algorithms for finding skyline points on a dataset progressively. The core techniques adopted are to partition the dataset into several disjoint subsets and output the skyline points by examining each subsequent subset progressively, using some of the skyline points obtained so far to filter out those unlikely skyline points in the current processing subset from transmission. We finally conduct extensive experiments by simulations to evaluate the performance of the proposed algorithms on synthetic and real datasets. The experimental results show that the proposed algorithms outperform existing algorithms significantly in network lifetime prolongation.
Starting Page	17
Ending Page	24
File Size	281101
Page Count	8
File Format	PDF
ISBN	9781424454686
e-ISBN	9781424454693
DOI	10.1109/MSN.2009.43
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	progressive algorithms Decision making wireless sensor network Sensor systems Spatial databases Temperature sensors Wireless sensor networks query optimization Query processing Fires Humidity energy conservation Air pollution Monitoring skyline query
Content Type	Text
Resource Type	Article

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