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

Jun Chang Xin*, Guo Ren Wang, Xiao Yi Zhang, Yue Zhao

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)345-348
Number of pages4
JournalDongbei Daxue Xuebao/Journal of Northeastern University
Volume30
Issue number3
Publication statusPublished - Mar 2009
Externally publishedYes

Keywords

  • Energy-efficient
  • Monitor
  • Partition
  • Skyline
  • Wireless sensor network

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