A foundation for representing and querying moving objects
ACM Transactions on Database Systems (TODS)
Wireless sensor networks for habitat monitoring
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
The cougar approach to in-network query processing in sensor networks
ACM SIGMOD Record
IEEE Transactions on Knowledge and Data Engineering
A Small Set of Formal Topological Relationships Suitable for End-User Interaction
SSD '93 Proceedings of the Third International Symposium on Advances in Spatial Databases
Habitat monitoring: application driver for wireless communications technology
ACM SIGCOMM Computer Communication Review - Workshop on data communication in Latin America and the Caribbean
A line in the sand: a wireless sensor network for target detection, classification, and tracking
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Military communications systems and technologies
TinyDB: an acquisitional query processing system for sensor networks
ACM Transactions on Database Systems (TODS) - Special Issue: SIGMOD/PODS 2003
Long-Term Animal Observation by Wireless Sensor Networks with Sound Recognition
WASA '09 Proceedings of the 4th International Conference on Wireless Algorithms, Systems, and Applications
Energy-efficient processing of spatio-temporal queries in wireless sensor networks
Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems
Processing (multiple) spatio-temporal range queries in multicore settings
ADBIS'11 Proceedings of the 15th international conference on Advances in databases and information systems
Load balancing for processing spatio-temporal queries in multi-core settings
MobiDE '12 Proceedings of the Eleventh ACM International Workshop on Data Engineering for Wireless and Mobile Access
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Tracking moving objects in relation to regions of interest, e.g., for pollution control or habitat monitoring, is an important application of Sensor Networks (SN). Research on Moving Object Databases has resulted in sophisticated mechanisms for querying moving objects and regions declaratively. Applying these results to SN in a straightforward way is not possible: First, sensor nodes typically can only determine that an object is in their vicinity, but not the exact position. Second, nodes may fail, or areas may be unobservable. All this is problematic because the evaluation of spatio-temporal queries requires precise knowledge about object positions. In this paper we specify meaningful results of spatio-temporal queries, given those SN-specific phenomena, and say how to derive them from object detections by sensor nodes. We distinguish between objects which definitely fulfill the query and those that could possibly do so, but where those inaccuracies are in the way of a definite answer. We study both spatio-temporal predicates as well as spatio-temporal developments, i.e., sequences of predicates describing complex movement patterns of objects.