Ontological Problem-Solving Framework for Dynamically Configuring Sensor Systems and AlgorithmsReport as inadecuate




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1

Department of Electrical and Computer Engineering, Herff College of Engineering, University of Memphis, 3720 Alumni Avenue, Memphis, TN 38152, USA

2

Department of Electrical and Computer Engineering, Purdue School of Engineering and Technology, Indiana University-Purdue University Indianapolis IUPUI, 799 W. Michigan St., Indianapolis, IN 46202, USA





*

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Abstract The deployment of ubiquitous sensor systems and algorithms has led to many challenges, such as matching sensor systems to compatible algorithms which are capable of satisfying a task. Compounding the challenges is the lack of the requisite knowledge models needed to discover sensors and algorithms and to subsequently integrate their capabilities to satisfy a specific task. A novel ontological problem-solving framework has been designed to match sensors to compatible algorithms to form synthesized systems, which are capable of satisfying a task and then assigning the synthesized systems to high-level missions. The approach designed for the ontological problem-solving framework has been instantiated in the context of a persistence surveillance prototype environment, which includes profiling sensor systems and algorithms to demonstrate proof-of-concept principles. Even though the problem-solving approach was instantiated with profiling sensor systems and algorithms, the ontological framework may be useful with other heterogeneous sensing-system environments. View Full-Text

Keywords: sensor networks; sensor ontology; profiling sensors; ontological framework sensor networks; sensor ontology; profiling sensors; ontological framework





Author: Joseph Qualls 1,* and David J. Russomanno 2

Source: http://mdpi.com/



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