Abstract
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.
Similar content being viewed by others
References
Mitola III J. and Maguire G. (1999). Cognitive radio: Making software radios more personal. IEEE Personal Communications Magazine 6(4): 13–18
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
Sontag E.D. (2004). Some new directions in control theory inspired by systems biology. Systems Biology. IEE Proceedings 1(1): 9–18
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.
Wang Y. (2002). The real time process algebra (RTPA). Annals of Software Engineering 14: 235–274
Wang Y. (2003). Using process algebra to describe human and software behaviors. Brain and Mind 4: 199–213
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).
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.
McGuinness, D. L., & Harmelen F. (2004). OWL web ontology language overview, W3C Recommendation. http://www.w3.org/TR/owl-features/.
SWRLSubmission. http://www.w3.org/Submission/SWRL/.
Mei, J., & Paslaru Bontas, E. (2005). Reasoning paradigms for SWRL-enabled ontologies. Proceedings of International Workshop on Protege with Rules. July 2005, Madrid, Spain.
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.
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).
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.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Balamuralidhar, P., Prasad, R. A Context Driven Architecture for Cognitive Radio Nodes. Wireless Pers Commun 45, 423–434 (2008). https://doi.org/10.1007/s11277-008-9480-7
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11277-008-9480-7