SDEC: Spectrum-aware degree-ranking-based energy-efficient clustering algorithm for multi-hop CRN

Abstract

Cognitive radio is a key technology for promoting spectrum efficiency by exploiting the existence of spectrum holes under the current static spectrum allocation policy. However, using spectrum bands in an opportunistic way has brought some significant challenges such as connectivity and energy consumption in dynamic environment. In this paper, we propose an adaptive SDEC (spectrum-aware degree-ranking-based energy-efficient clustering algorithm) applying to multi-hop wireless CRN, which incorporates the spectrum quality and the number of neighbor nodes into consideration. Results of simulations illustrate that the algorithm can well fit into CR network and achieve significant improvement both on the load balancing and the average power consumption. Moreover, SDEC has preferable stability and validity due to its low complexity and quick convergence under dynamic spectrum change. © 2014 Springer International Publishing.