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

fYear

2012

fDate

Jan. 30 2012-Feb. 2 2012

Firstpage

402

Lastpage

406

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICCNC.2012.6167453

Filename

6167453