[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.
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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
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:
Spectrum Allocation of Cognitive Vehicular Network ba<x>sed on Immune Optimization
作者:
马歌贾遂民
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:
Cognitive vehicle network is the formulation of c ognitive radio technology into vehicle network. For the probl em of cognitive vehicle network spectrum allocation ,which is modeled to optimize the throughput of cognitive nodes, this paper proposes an immune optimization algorithm ba<x>sed on graph theory model. To ensure the optimization of algorithm, it concludes matrix-coding scheme, Antibody correction mode, p roportion of cloning. The simulation results show that the proposed algorithm can obtain high cognitive node throughput and that is suitable for the spectrum allocation of cognitive vehicle network
更新日期/Last Update: 2021-10-11