基于萤火虫算法的认知车载网络频谱分配
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  • 英文篇名:Spectrum Allocation in Cognitive Vehicular Network Based on Firefly Algorithm
  • 作者:朱丹 ; 邱斌 ; 肖海林 ; 倪菊
  • 英文作者:ZHU Dan;QIU Bin;XIAO Hailin;NI Ju;School of Information and Communication, Guilin University of Electronic Technology;College of Information Science and Engineering, Guilin University of Technology;College of Physics and Electronic Information Engineering, Wenzhou University;Library, Guilin University of Electronic Technology;
  • 关键词:认知车载网 ; 萤火虫算法 ; 频谱分配
  • 英文关键词:cognitive vehicular network;;firefly algorithm;;spectrum allocation
  • 中文刊名:JSGG
  • 英文刊名:Computer Engineering and Applications
  • 机构:桂林电子科技大学信息与通信学院;桂林理工大学信息科学与工程学院;温州大学物理与电子信息工程学院;桂林电子科技大学图书馆;
  • 出版日期:2018-09-18 11:36
  • 出版单位:计算机工程与应用
  • 年:2019
  • 期:v.55;No.921
  • 基金:国家自然科学基金(No.61261018,No.61472094);; 广西自然科学基金杰出青年基金(No.2014GXNSFGA118007);; 2018年浙江省重点研发计划(No.2018C01059)
  • 语种:中文;
  • 页:JSGG201902011
  • 页数:5
  • CN:02
  • 分类号:73-77
摘要
针对布谷鸟搜索算法在认知车载网中频谱分配收敛速度低的问题,提出了一种基于萤火虫算法的频谱分配方法。该方法考虑种群所获得的平均收益值,将频谱分配变量映射为萤火虫位置信息,并将车载网络的吞吐量转化为萤火虫的亮度值,采用萤火虫算法离散频谱分配变量并进行迭代寻优。数值结果表明,基于萤火虫算法的认知车载网络频谱分配方式的收敛速度快,且种群的平均收益值高于遗传算法和布谷鸟算法。
        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 converted 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 network based on firefly algorithm has a fast convergence speed, and the average benefit value is higher than that of genetic algorithm and cuckoo algorithm.
引文
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