title: Analysis and simulation of the dynamic spectrum allocation based on parallel immune optimization in cognitive wireless networks.
abstract: Spectrum allocation is one of the key issues to improve spectrum efficiency and has become the hot topic in the research of cognitive wireless network. This paper discusses the real-time feature and efficiency of dynamic spectrum allocation and presents a new spectrum allocation algorithm based on the master-slave parallel immune optimization model. The algorithm designs a new encoding scheme for the antibody based on the demand for convergence rate and population diversity. For improving the calculating efficiency, the antibody affinity in the population is calculated in multiple computing nodes at the same time. Simulation results show that the algorithm reduces the total spectrum allocation time and can achieve higher network profits. Compared with traditional serial algorithms, the algorithm proposed in this paper has better speedup ratio and parallel efficiency.
authors.affiliation: Department of Information Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, China.
authors.forename: Wu
authors.initials: W
authors.lastname: Huixin
authors.affiliation: Department of Information Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, China.
authors.forename: Mo
authors.initials: M
authors.lastname: Duo
authors.affiliation: Department of Information Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, China.
authors.forename: Li
authors.initials: L
authors.lastname: He
mesh_terms: D000465:Algorithms; D003195:Computer Communication Networks / Q000592:standards*; D003198:Computer Simulation; D008962:Models, Theoretical; D015203:Reproducibility of Results; D059015:Wireless Technology