SeokJin Im

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Air indexing techniques have been developed for energy efficient query processing of mobile clients(MCs) in the wireless data broadcast. In the air indexing for spatial data, previous studies have involved various problems, long broadcast cycle by large index size and unnecessary data listening by the query processing based on coordinates, which are mapped(More)
The increase in spatial data for location-based service (LBS) in mobile computing or geographic information system (GIS) has led to more research on spatial indexing, such as R-tree. Nevertheless, few studies have attempted to improve performance by reducing the size of the index. If the minimal bounding rectangles (MBRs) that represent objects in R-tree(More)
Smart mobile devices and advanced wireless networks make the vision of pervasive computing come into reality through context aware services. A wireless spatial data broadcasting is a natural way of pervasive information services by providing information related to mobile clients' location context to an arbitrary number of clients. To support location aware(More)