Updating and Querying Databases that Track Mobile Units
Distributed and Parallel Databases - Special issue on mobile data management and applications
R-trees: a dynamic index structure for spatial searching
SIGMOD '84 Proceedings of the 1984 ACM SIGMOD international conference on Management of data
Querying Imprecise Data in Moving Object Environments
IEEE Transactions on Knowledge and Data Engineering
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Spatial-temporal environments contain large number of continuously moving objects on which variety of queries are executed, preferably within a real time. In such a dynamic system, processing location-based queries is a challenging problem. In this paper, the dynamic system has objects moving over a road of network. This paper proposes a new uncertainty model for this type of dynamic system. We applied this model on the indexing scheme that has recently been proposed, namely MON-tree. With our uncertainty model, we also explored a probabilistic query execution algorithm. For the purpose of an experimental evaluation, we set up a simulation environment that visualizes the movements and also provides a query processing capability. To achieve a better index storage utilization and query execution performance, we decreased the location update frequency of the dataset.