Title :
BioStaR: A Bio-inspired Stable Routing for Cognitive Radio Networks
Author :
Hoque, Mohammad A. ; Hong, Xiaoyan
Author_Institution :
Dept. of Comput. Sci., Univ. of Alabama, Tuscaloosa, AL, USA
fDate :
Jan. 30 2012-Feb. 2 2012
Abstract :
Techniques derived from biological systems explore a new dimension of research in Cognitive Radio Networks (CRNs). In this paper, we address the stability issue of CRN routing, being motivated by the adaptive `Attractor-Selector´ model. Our work includes designing a routing protocolnamed Bio-inspired Stable Routing (BioStaR) that increases route stability by maximizing the Spectrum Opportunity (SOP)and also minimizes the channel switching delay and signaling overhead. To the best of our knowledge, this is by far the first bio-inspired CRN routing that takes into account the above mentioned factors. Our simulation results show that this protocol accounts for both higher stability of route and less signaling overhead in spectrum-agile CRN environments.
Keywords :
cognitive radio; minimisation; radio spectrum management; routing protocols; wireless channels; CRN routing stability; adaptive attractor-selector model; bioinspired CRN routing; bioinspired stable routing protocol; biological system; channel switching delay minimization; cognitive radio network; signaling overhead; spectrum opportunity maximization; spectrum-agile CRN environment; Biological system modeling; Cognitive radio; Routing; Routing protocols; Stability analysis; Switches; Attractor-Selector; Spectrum Opportunity; channel switching delay; route stability; signaling overhead;
Conference_Titel :
Computing, Networking and Communications (ICNC), 2012 International Conference on
Conference_Location :
Maui, HI
Print_ISBN :
978-1-4673-0008-7
Electronic_ISBN :
978-1-4673-0723-9
DOI :
10.1109/ICCNC.2012.6167453
