A Context Driven Architecture for Cognitive Radio Nodes
- 228 Downloads
A cognitive radio (CR), in its generic form, needs to be highly flexible and adaptive while desirably hiding its complexities from users and system programmers. For the autonomic management the CR needs to be aware of the ‘self’ and the ‘world’ around it. Embedded intelligence with cognitive and collaborative adaptations require innovative techniques for managing the functionality of the device. Complexity of the cognitive processes involved demand for formal methods for run time evaluations and verification. In this paper we propose a generic architecture for a cognitive node with a context driven approach which incorporates some formalisms including context spaces, ontology, process algebra to represent and manipulate various cognitive processes managing the cognitive node functionality.
KeywordsCognitive radio Ontology Semantic web Context awareness Process Algebra
Unable to display preview. Download preview PDF.
- 2.Nehaniv, C. L. (1997). Algebraic models for understanding: coordinate systems and cognitive empowerment, ct, p. 147, Second International Conference on Cognitive Technology (CT ‘97), 1997, http://doi.ieeecomputersociety.org/10.1109/CT.1997.617694
- 4.Ledeczi, A., & Karsai, G. (2000). Synthesis of self-adaptive software. Proceedings of the IEEE Aerospace Conference. CD-ROM Reference 10.0304, Big Sky, MT, March 2000.Google Scholar
- 7.Lopez, N., Nunez, M., & Pelayo, F. L. (2004). STOPA: A stochastic process algebra for the formal representation of cognitive systems. Proceedings of the Third IEEE International Conference on Cognitive Informatics 2004, 16–17 Aug. 2004, (pp. 64–73).Google Scholar
- 8.Atallah, L., & Eberbach, E. (2005). The $-Calculus process algebra of bounded rational agents applied to selected problems in bioinformatics. Proceedings of Third International Conference on Computational Intelligence, Robotics and Autonomous Systems CIRAS’05. Singapore, Dec. 13–16, 2005.Google Scholar
- 9.McGuinness, D. L., & Harmelen F. (2004). OWL web ontology language overview, W3C Recommendation. http://www.w3.org/TR/owl-features/.
- 10.SWRLSubmission. http://www.w3.org/Submission/SWRL/.
- 11.Mei, J., & Paslaru Bontas, E. (2005). Reasoning paradigms for SWRL-enabled ontologies. Proceedings of International Workshop on Protege with Rules. July 2005, Madrid, Spain.Google Scholar
- 12.Devitt, A., Danev, B., & Matusikova, K. (2006). Constructing Bayesian networks automatically using ontologies. Proceedings of Formal Ontologies Meet Industry (FOMI). 14 Dec. 2006, Trento, Italy.Google Scholar
- 13.Wang, X. H., Gu, T., Zhang, D. Q., & Pung, H. K. (2004). Ontology-based context modelling and reasoning using OWL. Proceedings of the Second IEEE Annual Conference on Pervasive Computing and Communications- Percom 2004, 14–17 March. 2004, (pp. 18–22).Google Scholar
- 14.Henricksen, K., Livingstone, S., & Indulska, J. (2004). Towards a hybrid approach to context modelling, reasoning, and interoperation. Proceedings of the 1st International Workshop on Advanced Context Modelling, Reasoning And Management. UbiComp’2004.Google Scholar