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http://dx.doi.org/10.9708/jksci.2012.17.1.203

A Hierarchical Bitmap-based Spatial Index use k-Nearest Neighbor Query Processing on the Wireless Broadcast Environment  

Song, Doo-Hee (Dept. of Information and Communication, Wonkwang University)
Park, Kwang-Jin (Dept. of Information and Communication, Wonkwang University)
Publication Information
Journal of the Korea Society of Computer and Information / v.17, no.1, 2012 , pp. 203-209 More about this Journal
Abstract
Recently, k-nearest neighbors query methods based on wireless broadcasting environment are actively studied. The advantage of wireless broadcasting environment is the scalability that enables collective query processing for unspecified users connected to the server. However, in case existing k-NN query is applied in wireless broadcasting environment, there can be a disadvantage that backtracking may occur and consequently the query processing time is increasing. In this paper proposes a hierarchical bitmap-based spatial index in order to efficiently process the k-NN queries in wireless broadcasting environment. HBI reduces the bitmap size using such bitmap information and tree structure. As a result, reducing the broadcast cycle can reduce the client's tuning time and query processing time. In addition, since the locations of all the objects can be detected using bitmap information, it is possible to tune to necessary data selectively. For this paper, a test was conducted implementing HBI to k-NN query and the proposed technique was proved to be excellent by a performance evaluation.
Keywords
k-nearest neighbor; spatial index; location based service; bitmap;
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