International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 70 - Issue 25 |
Published: May 2013 |
Authors: Ramy A. Fathy, Abdelhalim Zekry, Ahmed A. Abdel Hafez |
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Ramy A. Fathy, Abdelhalim Zekry, Ahmed A. Abdel Hafez . An Evolutionary Cognitive Radio Adaptation Engine Architecture Inspired from Cognitive Sciences. International Journal of Computer Applications. 70, 25 (May 2013), 37-45. DOI=10.5120/12226-8510
@article{ 10.5120/12226-8510, author = { Ramy A. Fathy,Abdelhalim Zekry,Ahmed A. Abdel Hafez }, title = { An Evolutionary Cognitive Radio Adaptation Engine Architecture Inspired from Cognitive Sciences }, journal = { International Journal of Computer Applications }, year = { 2013 }, volume = { 70 }, number = { 25 }, pages = { 37-45 }, doi = { 10.5120/12226-8510 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2013 %A Ramy A. Fathy %A Abdelhalim Zekry %A Ahmed A. Abdel Hafez %T An Evolutionary Cognitive Radio Adaptation Engine Architecture Inspired from Cognitive Sciences%T %J International Journal of Computer Applications %V 70 %N 25 %P 37-45 %R 10.5120/12226-8510 %I Foundation of Computer Science (FCS), NY, USA
Cognitive Radio (CR) is the future of radio systems giving authorities and end users unprecedented capabilities, and completely new services expectations. This paper aims at introducing an evolutionary novel Cognitive Radio adaptation engine architecture inspired from theories developed in cognitive sciences. Adaptation is a fundamental feature of CR necessary for many applications and use cases such as dynamic spectrum access, and emergency and disaster relief communication systems. The proposed architecture employs meta-heuristic techniques to dynamically and autonomously self-adapt to external varying stimuli, in order to reach some objectives. The implemented architecture is shown to be suitable for applications of emergency and disaster relief communication systems.