Abstract
Group Reverse k-Nearest-Neighbor Query (GRkNN) can be used to evaluate the influences of query objects and has wide applications. Traditional algorithms are not able to obtain satisfied results for uncertain sensor network data. A probabilistic threshold group reverse k nearest neighbor query (PT-GRkNN) is proposed in this paper. PT-GRkNN exploits filter-refine framework, geometric filter and probability filter are proposed to shrink the search space, the final query results can be obtained by refine phase. Experimental results show that the efficiency of PT-GRkNN is better than the existing methods.
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Acknowledgments
This work was supported in part by the National Science Foundation for Young Scholars of China (61100048, 61102105), Scientific Research Fund of Heilongjiang Provincial Education Department (12531476, 12531498), and the Research Foundation of Harbin for Youth Innovative Talents (2011RFQXG028, 2012RFQXG096).
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Zhu, J., Kan, B., Liu, Y., Wang, T., Pan, L., Liu, D. (2014). A Probabilistic Group Reverse k-Nearest-Neighbor Query in Sensor Networks. In: Wang, X., Cui, L., Guo, Z. (eds) Advanced Technologies in Ad Hoc and Sensor Networks. Lecture Notes in Electrical Engineering, vol 295. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54174-2_11
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DOI: https://doi.org/10.1007/978-3-642-54174-2_11
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