| Summary: | This paper proposes a SAFCA for a self-organized CH selection within a CRSN. The algorithm caters CR and WSN constraints by exploiting the dynamic spectrum access and fuzzy inference technique for an energy efficient CRSN. It utilizes channel availability and fuzzy parameters of residual energy, communication cost and node distribution. The simulation measure the significant of the selected parameters. The first stage investigates the impact of inclusion of fuzzy inference towards the channel availability in the clustering algorithm, meanwhile the second stage explores the significant of the fuzzy parameters. The performance metric of network stability i.e. FND and network lifetime i.e. HNA are measured to determine the energy efficiency of the clustering algorithm. The results show the algorithm outperforms SACA, SAFEC, SAFEN and SAFCN of FND, HNA, number of alive nodes and energy consumption.
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