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Partition-based algorithm for 2D-skyline monitoring in wireless sensor networks

  • Jun Chang Xin*
  • , Guo Ren Wang
  • , Xiao Yi Zhang
  • , Yue Zhao
  • *此作品的通讯作者
  • Northeastern University China

科研成果: 期刊稿件 › 文章 › 同行评审

摘要

The algorithms of skyline queries in conventional database as shown in earlier works are inapplicable to the wireless sensor network environment. A partition-based 2D-skyline (P2S) monitoring algorithm is therefore presented, which takes advantage of skyline query to partition off the 2D plane and allocate a rectangular area as the filter to each and every node so as to reduce data transmission in the network, thus decreasing the energy consumption. The experimental results showed that the P2S algorithm can effectively filter most of the unnecessary data updates and reduce the number of messages transmitted from nodes to base stations to make reasonable use of the limited power supply of nodes and prolong greatly the lifetime of wireless sensor network.

源语言英语
页(从-至)345-348
页数4
期刊Dongbei Daxue Xuebao/Journal of Northeastern University
卷30
期3
出版状态已出版 - 3月 2009
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