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Immune Optimization Based on Spectrum Allocation of Cognitive Vehicular Network
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[1]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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Journal of Zhengzhou University (Engineering Science)[ISSN 1671-6833/CN 41-1339/T] Volume: 42卷 Number of periods: 2021 05 Page number: 62-67 Column: Public date: 2021-09-10
Title:
Immune Optimization Based on Spectrum Allocation of Cognitive Vehicular Network
Author(s):
MA Ge;  JIA Suimin
College of Information Science & Technology, Zhengzhou Normal University, Zhengzhou 450044, China
Keywords:
cognitive vehicle network;  spectrum allocation;  immune optimization;  throughput capacity
CLC:
-
DOI:
10.13705/j.issn.1671-6833.2021.05.014
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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Last Update: 2021-10-11
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