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An efficient continuous k-nearest neighbor query processing scheme for multimedia data sharing and transmission in location based services

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Abstract

The continuous k-nearest neighbor query is one of the most important query types to share multimedia data or to continuously identify transportable users in LBS. Various methods have been proposed to efficiently process the continuous k-NN query. However, most of the existing methods suffer from high computation time and larger memory requirement because they unnecessarily access cells to find the nearest cells on a grid index. Furthermore, most methods do not consider the movement of a query. In this paper, we propose a new processing scheme to process the continuous k nearest neighbor query for efficiently support multimedia data sharing and transmission in LBS. The proposed method uses the patterns of the distance relationships among the cells in a grid index. The basic idea is to normalize the distance relationships as certain patterns. Using this approach, the proposed scheme significantly improves the overall performance of the query processing. It is shown through various experiments that our proposed method outperforms the existing methods in terms of query processing time and storage overhead.

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Acknowledgments

This research was supported by the MSIT (Ministry of Science, ICT), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2018-2013-1-00881) supervised by the IITP (Institute for Information & communication Technology Promotion), by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (No. 2016R1A2B3007527), and by the ICT R&D program of MSIT/IITP. [B0101-15-0266, Development of High Performance Visual BigData Discovery Platform for Large-Scale Realtime Data Analysis].

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Authors and Affiliations

  1. School of Information and Communication Engineering, Chungbuk National University, Chungdae-ro 1, Seowon-Gu, Cheongju, Chungbuk, 28644, South Korea

    Kyoungsoo Bok & Jaesoo Yoo

  2. NetReCa Inc., Orange, CA, USA

    Yonghun Park

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  1. Kyoungsoo Bok
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  2. Yonghun Park
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  3. Jaesoo Yoo
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Correspondence to Jaesoo Yoo.

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Bok, K., Park, Y. & Yoo, J. An efficient continuous k-nearest neighbor query processing scheme for multimedia data sharing and transmission in location based services. Multimed Tools Appl 78, 5403–5426 (2019). https://doi.org/10.1007/s11042-018-6433-3

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