Mobile users: to update or not to update?
Wireless Networks
Updating and Querying Databases that Track Mobile Units
Distributed and Parallel Databases - Special issue on mobile data management and applications
Locating Objects in Mobile Computing
IEEE Transactions on Knowledge and Data Engineering
Modeling and Querying Moving Objects
ICDE '97 Proceedings of the Thirteenth International Conference on Data Engineering
Cost and Imprecision in Modeling the Position of Moving Objects
ICDE '98 Proceedings of the Fourteenth International Conference on Data Engineering
Moving Objects Databases: Issues and Solutions
SSDBM '98 Proceedings of the 10th International Conference on Scientific and Statistical Database Management
DASFAA '01 Proceedings of the 7th International Conference on Database Systems for Advanced Applications
Approximating Object Location for Moving Object Database
ICDCSW '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
Tracking network-constrained moving objects with group updates
WAIM '06 Proceedings of the 7th international conference on Advances in Web-Age Information Management
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Conventionally, the problem of location updates for moving objects has been addressed by adjusting the location reporting frequency or setting the uncertainty bound, according to object mobility patterns. This induces an obvious tradeoff between the communication cost and the uncertainty bound in querying moving object locations. Most existing works are focused on the object mobility pattern, without exploring the interdependency between queries and location updates. Furthermore, they take the precision of query results for granted as a result of a negotiated deviation threshold for reporting. The Aqua (Adaptive QUery-Aware) location updating scheme proposed in this paper exploits the interdependency between queries and updates. In particular, our scheme is adaptive to changes in both object mobility patterns and query characteristics, thereby resulting in significant performance improvement in terms of communication cost and query processing precision. We performed simulation studies and demonstrated that Aqua can produce desirable performance in most situations.