Sensors 2011, 11(9), 8370-8394; doi:10.3390/s110908370
Article

Ontological Problem-Solving Framework for Assigning Sensor Systems and Algorithms to High-Level Missions

1,* email and 2email
Received: 6 July 2011; in revised form: 6 August 2011 / Accepted: 25 August 2011 / Published: 29 August 2011
(This article belongs to the Section Physical Sensors)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: The lack of knowledge models to represent sensor systems, algorithms, and missions makes opportunistically discovering a synthesis of systems and algorithms that can satisfy high-level mission specifications impractical. A novel ontological problem-solving framework has been designed that leverages knowledge models describing sensors, algorithms, and high-level missions to facilitate automated inference of assigning systems to subtasks that may satisfy a given mission specification. To demonstrate the efficacy of the ontological problem-solving architecture, a family of persistence surveillance sensor systems and algorithms has been instantiated in a prototype environment to demonstrate the assignment of systems to subtasks of high-level missions.
Keywords: sensor networks; Sensor Ontology; profiling sensors; mission tasking
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MDPI and ACS Style

Qualls, J.; Russomanno, D.J. Ontological Problem-Solving Framework for Assigning Sensor Systems and Algorithms to High-Level Missions. Sensors 2011, 11, 8370-8394.

AMA Style

Qualls J, Russomanno DJ. Ontological Problem-Solving Framework for Assigning Sensor Systems and Algorithms to High-Level Missions. Sensors. 2011; 11(9):8370-8394.

Chicago/Turabian Style

Qualls, Joseph; Russomanno, David J. 2011. "Ontological Problem-Solving Framework for Assigning Sensor Systems and Algorithms to High-Level Missions." Sensors 11, no. 9: 8370-8394.

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