Intelligent Algorithm for Spectrum Mobility in Cognitive Wireless Networks

Abstract

Currently the growing demand for wireless communications users has generated the study and implementation of cognitive wireless networks. To find a channel with the required characteristics for the continuous communication of the secondary users is essential for spectral mobility, in cognitive wireless networks. This paper presents a fuzzy algorithm for the spectrum decision function and in particular for the selection of a backup channel in spectral mobility. The proposed fuzzy algorithm is based on decision-making multiple criteria. This paper proposes a benchmarking of performance of the two spectrum handoff models: Analytical Hierarchical Process and the proposed Fuzzy Algorithm.The metric evaluations used are an accumulative average of failed handoffs, accumulative average of performed handoffs and, average of transmission bandwidth.The proposed algorithm provides an effective frequency channel selection. The results show a reduction of the rate of channel changes in contrast to the AHP selection method.