Mobile user location update and paging under delay constraints
Wireless Networks
The Geometry of Uncertainty in Moving Objects Databases
EDBT '02 Proceedings of the 8th International Conference on Extending Database Technology: Advances in Database Technology
Location Update Generation in Cellular Mobile Computing Systems
IPDPS '01 Proceedings of the 15th International Parallel & Distributed Processing Symposium
Time-series prediction with applications to traffic and moving objects databases
Proceedings of the 3rd ACM international workshop on Data engineering for wireless and mobile access
A predictive location model for location-based services
GIS '03 Proceedings of the 11th ACM international symposium on Advances in geographic information systems
Location Based Services
Managing Moving Objects on Dynamic Transportation Networks
SSDBM '04 Proceedings of the 16th International Conference on Scientific and Statistical Database Management
Techniques for Efficient Road-Network-Based Tracking of Moving Objects
IEEE Transactions on Knowledge and Data Engineering
Bayesian Filtering for Location Estimation
IEEE Pervasive Computing
Indexing Moving Objects Using Short-Lived Throwaway Indexes
SSTD '09 Proceedings of the 11th International Symposium on Advances in Spatial and Temporal Databases
Location-dependent query processing: Where we are and where we are heading
ACM Computing Surveys (CSUR)
Parsimonious linear fingerprinting for time series
Proceedings of the VLDB Endowment
Real-time monitoring of moving objects using frequently used routes
DASFAA'11 Proceedings of the 16th international conference on Database systems for advanced applications: Part II
MOVIES: indexing moving objects by shooting index images
Geoinformatica
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A range of mobile services rely on knowing the current positions of populations of so-called moving objects. In the ideal setting, the positions of all objects are known always and exactly. While this is not possible in practice, it is possible to know each object's position with a certain guaranteed accuracy. This paper presents the TRAX tracking system that supports several techniques capable of tracking the current positions of moving objects with guaranteed accuracies at low update and communication costs in real-world settings. The techniques are readily relevant for practical applications, but they also have implications for continued research. The tracking techniques offer a realistic setting for existing query processing techniques that assume that it is possible to always know the exact positions of moving objects. The techniques enable studies of trade-offs between querying and update, and the accuracy guarantees they offer may be exploited by query processing techniques to offer perfect recall.