[1]马歌,贾遂民.认知车联网频谱分配的免疫优化实现[J].郑州大学学报(工学版),2021,42(05):62-67.[doi:10.13705/j.issn.1671-6833.2021.05.014]
　MA Ge,JIA Suimin.Immune Optimization Based on Spectrum Allocation of Cognitive Vehicular Network[J].Journal of Zhengzhou University (Engineering Science),2021,42(05):62-67.[doi:10.13705/j.issn.1671-6833.2021.05.014]
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认知车联网频谱分配的免疫优化实现()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
42卷
期数:
2021年05期
页码:
62-67
栏目:
出版日期:
2021-09-10

文章信息/Info

Title:
Immune Optimization Based on Spectrum Allocation of Cognitive Vehicular Network
作者:
马歌; 贾遂民
郑州师范学院信息科学与技术学院;
Author(s):
MA Ge;  JIA Suimin
College of Information Science & Technology, Zhengzhou Normal University, Zhengzhou 450044, China
关键词:
Keywords:
cognitive vehicle network;  spectrum allocation;  immune optimization;  throughput capacity
DOI:
10.13705/j.issn.1671-6833.2021.05.014
文献标志码:
A
摘要:
在车联网中引入认知无线电技术产生了认知车联网。如何对认知车联网中的频谱进行有效分配是其关键技术之一。针对此问题，基于图着色模型，将其建模为最大化认知节点吞吐量的优化问题，进而提出一种基于免疫优化的求解算法。设计了适合频谱分配问题的矩阵编码方式、抗体修正方式、比例克隆等策略，保证算法的寻优能力。仿真实验表明，本文所提算法能获得较高的认知节点吞吐量，适合于认知车联网的频谱分配。
Abstract:
In order to meet the increasing spectrum demands of cognitive vehicular network, spectrum allocation problem is studied. Cognitive vehicle network is the formulation of cognitive radio technology into vehicle network. For the problem of cognitive vehicle network spectrum allocation，which is modeled to optimize the throughput of cognitive nodes, an immune optimization algorithm based on graph theory model is proposed. To ensure the optimization of algorithm, it concludes matrix-coding scheme, antibody correction mode, and proportion of cloning. The simulation results show that the proposed algorithm can obtain high cognitive node throughput and is suitable for the spectrum allocation of cognitive vehicle network.

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更新日期/Last Update: 2021-10-11