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Continuous Nearest Neighbor Query Processing on Trajectory of Moving Objects  

지정희 (충북대학교 전자계산학과)
최보윤 (충북대학교 전자계산학과)
김상호 (충북대학교 연구원)
류근호 (충북대학교 전기전자 및 컴퓨터공학부)
Publication Information
Journal of KIISE:Databases / v.31, no.5, 2004 , pp. 492-504 More about this Journal
Abstract
Recently, as growing of interest for LBS(location-based services) techniques, lots of works on moving objects that continuously change their information over time, have been performed briskly. Also, researches for NN(nearest neighbor) query which has often been used in LBS, are progressed variously However, the results of conventional NN Query processing techniques may be invalidated as the query and data objects move. Therefore, they are usually meaningless in moving object management system such as LBS. To solve these problems, in this paper we propose a new nearest neighbor query processing technique, called CTNN, which is possible to meet accurate and continuous query processing for moving objects. Our techniques include an Approximate CTNN(ACTNN) technique, which has quick response time, and an Exact CTNN(ECTNN) technique, which makes it possible to search nearest neighbor objects accurately. In order to evaluate the proposed techniques, we experimented with various datasets. Experimental results showed that the ECTNN technique has high accuracy, but has a little low performance for response time. Also the ACTNN technique has low accuracy comparing with the ECTNN, but has quick response time The proposed techniques can be applied to navigation system, traffic control system, distribution information system, etc., and specially are most suitable when both data and query are moving objects and when we already know their trajectory.
Keywords
nearest neighbor query; moving objects; continuous nearest neighbor query;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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