Chwalisz, M

De Valck, Peter

Fortuna, C

Seskar, I

Tosic, M

English

Ghent University Academic Bibliography

Common Cognitive Radio language, a CREW-GENI collaboration  Carolina Fortuna1, Milorad Tosic2, Mikolaj Chwalisz3, Peter de Valck4, Ivan Seskar5 1 Jozef Stefan Institute, Jamova 39, SI-1000 Ljubljana, Slovenia 2 University of Nis, Serbia 3 Technical University Berlin, Germany 4 iMinds and University of Gent, Belgium 5 Rutgers University, USA.  Outline • Introduction: CREW CDF and TassOR  • About ontologies and CR use cases  • The Spectrum Sensing Ontology  • Modelling and querying cognitive radio devices: selected examples  • Summary The CREW federation’s common data format • 5 testbeds • Need for harmonizing experiment description • Need for harmonizing the results from the experiment                       common data format that includes a vocabulary based on the IEEE P 1900.1 specifications Testbed as a Service with Ontology Repository (TaaSOR) Community focused WEB based tool   • Grounding by team consensus on shared ontologies • Knowledge reuse by including complementing networking ont. (NOVI, NDL, NDL-OWL) • Generated ontologies instantly available online and published as Linked Data as well as SPARQL endpoint CREW-GENI efforts • Starting from •  existing standard vocabularies provided by ontologies (NOVI, NDL, NDL-OWL) • the existing Testbed as a Service with Ontology Repository (TaaSOR) •  and the CREW common data format   • create a Spectrum Sensing Ontology capable of describing any device and capability from any cognitive radio testbed   • The final goal is to enable testbed-as-a-service functionality What is an ontology and why semantic web? • “an ontology formally represents knowledge as a set of concepts within a domain, using a shared vocabulary to denote the types, properties and interrelationships of those concepts”  • In a way, an ontology is a taxonomy that also has relationships between the concepts  • Ontologies and semantic web technologies enable machine interpretable representations of data thus increasing interoperability  • In semantic web, everything can be described as a triple: Subject (Resource) Predicate (Property) Object (Statement) sses:RadioDevice rdf:hasIndividual sses:SpectrumAnalyzerTest sses:SpectrumAnalyzerTest sses:supports sses:SASettings1 Example use case for CR: model relationships between frequency intervals Situations we would like to be able to represent it ti   l  li  t   l  t  t Possible semantic rules for expressing the relationships about frequency ranges  The Spectrum Sensing Ontology (1/2) • The ontology has three orthogonal parts are that allow the description of:  • spectrum related theoretical aspects,  • device spectrum sensing capabilities and  • ranges of values for each  • Basic device capability description: base band and RF capabilities described • Description of the processing for base  • Current version: http://sensorlab.ijs.si/2013/v0/SpectrumSensingExperimentSpecification.owl  The Spectrum Sensing Ontology (2/2) Modelling a Spectrum Analyzer Example query: Devices and their sweeping bands • A set of devices have been added as individuals of the concepts in the ontology • Their properties were also modelled  • A SPARQL query retrieves all the devices and the frequency ranges they are able to sweep Example query: Devices with same sweeping bands Band2 Band1 0 f1 f3 f4 f2 Example query: Devices with included sweeping bands Band2 Band1 0 f1 f3 f4 f2 Rules to simplify the SPARQL queries and abstract the underlying complexity Search in Tasor Complex SPARQL Query:  Find all spectrum sensing devices capable of sensing frequency X  Frequency Value:  2412  Frequency Unit:  MHz  Execute search  Results:  List of device capabilities that cover 2.412 GHz  Summary • We have defined and developed a working Spectrum Sensing Ontology that is openly available  • We have modelled several devices and exemplified on use cases how it can be use  • There are several other aspects related to the spectrum sensing device and experiment specification that we have identified but are not yet solved in the current version    • Questions?   • I am happy to provide further explanations and show the running demos locally in Protégé or remotely in TaasOR (today and next days here at FIA)  • Thank you!  • http://sensorlab.ijs.si/2013/v0/SpectrumSensingExperimentSpecification.owl   

Common cognitive radio language, a CREW-GENI collaboration

https://biblio.ugent.be/publication/4401947/file/4401948.pdf

Common cognitive radio language, a CREW-GENI collaboration

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Ghent University Academic Bibliography