In this paper, we explore the problem of processing a novel type of location based queries, named the location based top-k query, which involves both of spatial and non-spatial specifications for data objects in the wireless broadcasting system. We introduce two methods for processing location based top-k queries on the broadcast stream. In the first method, the search algorithm runs on the broadcast aggregate R-tree (aR-tree). However, the aR-tree may deteriorate the search performance, especially in terms of the tuning time. With this problem in mind, we propose a novel index structure, called the bit-vector R-tree (bR-tree), which stores additional bit-vector information to facilitate processing of location based top-k queries. The search algorithm on the broadcast bR-tree is also described. Our simulation experiments demonstrate that the bR-tree method clearly outperforms the aR-tree method in terms of the tuning time, while maintaining similar or better performance in terms of the access time.
Air index interleaving REF is commonly used for reducing the tuning time at the expense of the increased access time.
On processing location based top-k queries in the wireless broadcasting system
SAC '10
Computer Science