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Efficient Location-Dependent Skyline Retrieval with Peer-to-Peer Sharing

  • Yingyuan Xiao
  • Yan Shen
  • Hongya Wang
  • Xiaoye Wang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7808)

Abstract

Motivated by the fact that a great deal of information is closely related to spatial location, a new type of skyline queries, location-dependent skyline query (LDSQ), was recently presented. Different from the conventional skyline query, which focuses on non-spatial attributes of objects and does not consider location relationship (i.e., proximity), LDSQ considers both the proximity and non-spatial attributes of objects. In this paper, we explore the problem of efficient LDSQ processing in a mobile environment. We propose a novel LDSQ processing method based on peer-to-peer (P2P) sharing. Extensive experiments are conducted, and the experimental results demonstrate the effectiveness of our methods.

Keywords

location-based services location-dependent skyline query valid scope peer-to-peer sharing 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Yingyuan Xiao
    • 1
  • Yan Shen
    • 1
  • Hongya Wang
    • 2
  • Xiaoye Wang
    • 1
  1. 1.Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology, Key Laboratory of Computer Vision and SystemTianjin University of TechnologyChina
  2. 2.Donghua UniversityShanghaiChina

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