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A safe region based approach to moving KNN queries in obstructed space

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Abstract

The moving \(k\) nearest neighbor (MkNN) query has been studied extensively. Most of the studies assume no obstacle in the space. However, obstacles like rivers, buildings and private properties commonly exist in the space, and one may need to go around the obstacles to reach his/her nearest neighbors. In this paper, we study the moving kNN query in obstructed space with no predefined query object trajectory. We take a safe region based approach to solve this problem. In particular, we propose a method to compute a safe region w.r.t. a data object. In this safe region, the query object can move freely, while the data object is kept in the query object’s kNN set. By combining the safe regions of the data objects near the query object, we formulate an overall safe region where the query object’s kNN set keeps stable. We propose an algorithm based on the safe regions to process the moving kNN query in obstructed space. Extensive experiments show that the proposed algorithm significantly reduces the communication and the computation costs for query processing. Our algorithm outperforms a baseline algorithm by up to two orders of magnitude under various settings.

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Notes

  1. http://www.chorochronos.org/.

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Acknowledgments

This work is supported by the National Basic Research Program of China under Grant Nos. 2012CB316201 and 2014CB360509, the National Natural Science Foundation of China under Grant Nos. 61300021, 61472071 and 61472072, Australian Research Council (ARC) Discovery Project DP130104587, Australian Research Council (ARC) Future Fellowships Project FT120100832, the Fundamental Research Funds for the Central Universities of China Nos. N120304003 and N130404010 and China Scholarship Council.

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Authors and Affiliations

  1. The School of Information Science and Engineering, Northeastern University, Shenyang, Liaoning, China

    Chuanwen Li, Yu Gu & Ge Yu

  2. The Department of Computing and Information Systems, University of Melbourne, Melbourne, VIC, 3052, Australia

    Jianzhong Qi & Rui Zhang

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  1. Chuanwen Li
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  2. Yu Gu
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  3. Jianzhong Qi
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  4. Rui Zhang
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  5. Ge Yu
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Correspondence to Yu Gu.

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Li, C., Gu, Y., Qi, J. et al. A safe region based approach to moving KNN queries in obstructed space. Knowl Inf Syst 45, 417–451 (2015). https://doi.org/10.1007/s10115-014-0803-6

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  • DOI: https://doi.org/10.1007/s10115-014-0803-6

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