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Issue No. 04 - April (2013 vol. 25)
ISSN: 1041-4347
pp: 835-849
Xin Lin , East China Normal University, Shanghai and Hong Kong Baptist University, Hong Kong
Jianliang Xu , Hong Kong Baptist University, Hong Kong
Haibo Hu , Hong Kong Baptist University, Hong Kong
Skyline query processing for location-based services, which considers both spatial and nonspatial attributes of the objects being queried, has recently received increasing attention. Existing solutions focus on solving point- or line-based skyline queries, in which the query location is an exact location point or a line segment. However, due to privacy concerns and limited precision of localization devices, the input of a user location is often a spatial range. This paper studies a new problem of how to process such range-based skyline queries. Two novel algorithms are proposed: one is index-based (I-SKY) and the other is not based on any index (N-SKY). To handle frequent movements of the objects being queried, we also propose incremental versions of I-SKY and N-SKY, which avoid recomputing the query index and results from scratch. Additionally, we develop efficient solutions for probabilistic and continuous range-based skyline queries. Experimental results show that our proposed algorithms well outperform the baseline algorithm that adopts the existing line-based skyline solution. Moreover, the incremental versions of I-SKY and N-SKY save substantial computation cost, especially when the objects move frequently.
Indexes, Heuristic algorithms, Query processing, Mobile communication, Probabilistic logic, Search problems, Privacy, moving objects, Location-based services, query processing, skyline queries

J. Xu, X. Lin and H. Hu, "Range-Based Skyline Queries in Mobile Environments," in IEEE Transactions on Knowledge & Data Engineering, vol. 25, no. , pp. 835-849, 2013.
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