Reference : Architectures and Cross-Layer Design for Cognitive Networks
Parts of books : Contribution to collective works
Engineering, computing & technology : Computer science
Architectures and Cross-Layer Design for Cognitive Networks
Kliazovich, Dzmitry mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Granelli, Fabrizio [> >]
Fonseca, Nelson []
Handbook on Sensor Networks
World Scientific Publishing Co, Inc.
3 - 24
[en] Network evolution towards self-aware autonomous adaptive networking attempts to overcome the ine?ciency of con?guring and managing networks, which leads to performance degradation. In order to optimize network operations, the introduction of self-awareness, self-management, and self-healing into the network was proposed. This created a new paradigm in networking, known as cognitive networking. This chapter describes state-of-the-art, as well as future directions in cognitive networking. Fundamental techniques for enabling cognitive properties, such as, adaptation, learning, and goal optimization processes are detailed in this text. A comparison of available research proposals leads to the design of a promising cognitive network architecture capable of incorporating cognitive network techniques. Finally, a discussion on the required properties of the cross-layer design for cognitive networks and deployment issues are speci?ed.

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