计算机工程与应用2019，Vol.55Issue(2)：67-71,5.DOI:10.3778/j.issn.1002-8331.1710-0014
基于萤火虫算法的认知车载网络频谱分配
Spectrum Allocation in Cognitive Vehicular Network Based on Firefly Algorithm
摘要
Abstract
To solve slow convergence of cuckoo search algorithm for spectrum allocation in cognitive vehicle network, a new method based on firefly algorithm is proposed. In this method, the average benefit value of population is considered, the spectrum allocation variable is mapped into firefly location information, and the vehicle network throughput is con-verted into the firefly’s brightness value. Moreover, it utilizes firefly algorithm to discrete spectrum allocation variable and performs iterative optimization. The numerical analysis shows that the spectrum allocation of cognitive vehicle net-work based on firefly algorithm has a fast convergence speed, and the average benefit value is higher than that of genetic algorithm and cuckoo algorithm.关键词
认知车载网/萤火虫算法/频谱分配Key words
cognitive vehicular network/firefly algorithm/spectrum allocation分类
信息技术与安全科学引用本文复制引用
朱丹,邱斌,肖海林,倪菊..基于萤火虫算法的认知车载网络频谱分配[J].计算机工程与应用,2019,55(2):67-71,5.基金项目
国家自然科学基金(No.60970016) （No.60970016）
天津市自然科学基金(No.11JCYBJC00800) （No.11JCYBJC00800）
天津市科技重大专项与工程项目(No.15ZXHLGX00390). （No.15ZXHLGX00390）
