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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)
Many recent studies in the field of data transmission have considered location-based services. Prefetching and caching are exemplary techniques for data transmission, and offer advantages in user-centric services in location-dependent data environments. However, in mobile environments, prefetching and caching inevitably require frequent uplink requests(More)
Various air indexing and data scheduling schemes for wireless broadcast of spatial data have been developed for energy efficient query processing. The existing schemes are not effective when the clients' data access patterns are skewed to some items. It is because the schemes are based on flat broadcast that does not take the popularity of the data items(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)