Channel assignment using differential evolution algorithm in cognitive radio networks
et.al. Jawwad Latif · International Journal of ADVANCED AND APPLIED SCIENCES · 2017
The emerging wireless applications have increased the demand of wireless spectrum significantly.Present spectrum assignment is static, due to which problem of spectrum scarcity has been raised.Cognitive Radio (CR) is a promising technology to deal with spectrum scarcity problem, which uses dynamic spectrum allocation to utilize the vacant spectrum.The CR intelligently scans the spectrum in its vicinity and search the vacant spectrum.The optimization of available spectrum is important research challenge in cognitive radio networks (CRNs).In this research work, we have optimized the spectrum utility of SUs using Differential Evolution (DE) algorithm in order to reduce the interference incurs to primary users (PUs) and as well as among the secondary users (SUs).Moreover, the results are compared with other evolutionary channel assignment algorithms like Fuzzy Logic Ant Colony System (FLACS) and Color Sensitive Graph Coding Method (CSGC).It has been observed that the results of proposed algorithms can further enhance the spectrum utility in CRNs in comparison to FLACS and CSGC.