BioStaR: A Bio-inspired Stable Routing for Cognitive Radio Networks (original) (raw)

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.