Continuous nearest-neighbor queries with location uncertainty

Continuous nearest-neighbor queries with location uncertainty In this paper, we consider the problem of evaluating the continuous query of finding the $$k$$ k nearest objects with respect to a given point object $$O_{q}$$ O q among a set of $$n$$ n moving point-objects. The query returns a sequence of answer-pairs, namely pairs of the form $$(I,\, S)$$ ( I , S ) such that $$I$$ I is a time interval and $$S$$ S is the set of objects that are closest to $$O_{q}$$ O q during $$I$$ I . When there is uncertainty associated with the locations of the moving objects, $$S$$ S is the set of all the objects that are possibly the $$k$$ k nearest neighbors. We analyze the lower bound and the upper bound on the maximum number of answer-pairs, for the certain case and the uncertain case, respectively. Then, we consider two different types of algorithms. The first is off-line algorithms that compute a priori all the answer-pairs. The second type is on-line algorithms that at any time return the current answer-pair. We present algorithms for the certain case and the uncertain case, respectively, and analyze their complexity. We experimentally compare different algorithms using a database of 1 million objects derived from real-world GPS traces. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png The VLDB Journal Springer Journals

Continuous nearest-neighbor queries with location uncertainty

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Publisher
Springer Berlin Heidelberg
Copyright
Copyright © 2015 by Springer-Verlag Berlin Heidelberg
Subject
Computer Science; Database Management
ISSN
1066-8888
eISSN
0949-877X
D.O.I.
10.1007/s00778-014-0361-2
Publisher site
See Article on Publisher Site

References

  • Modeling moving objects over multiple granularities
    Hornsby, K; Egenhofer, M

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