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The sensor tasking problem in sensor networks involves the representation of users' tasks (user-level tasking) in a form which a sensor network needs to perform required operations (sensor-level tasking) leading to satisfaction of the tasks. The authors analyzed four approaches to Task Representation (TR) in sensor networks: the Open Geospatial Consortium's Sensor Web Enablement, Goal Lattices, Semantic Streams, and Sensor Assignment to Missions. Each approach considers distinct aspect of the sensor tasking problem. They used the Web Ontology Language, OWL, to define the features of each TR, which enabled one then to identify mappings between them. These mappings allow one to combine the TRs into one Hybrid Task Representation (HTR) that addresses both user-level and sensor-level tasking, thus providing a more complete, integrated approach to the sensor tasking problem.
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