基于AI的可见光通信网络资源安全分配系统设计
Design of Resource Security Allocation System for Visible Light Communication Network Based on AI
蓝颖华1
作者信息
- 1. 中通服软件科技有限公司,广东广州 510000
- 折叠
摘要
可见光通信(Visible Light Communication,VLC)因其高速率、低功耗、高安全性等优势受到广泛关注,但仍面临网络资源分配的挑战.文章提出一种基于人工智能的VLC网络资源安全分配系统,综合利用深度强化学习算法优化资源分配策略,并集成多种安全防护机制.实验结果表明,该系统能够显著提升VLC网络性能,为VLC的规模化应用奠定了基础.
Abstract
Visible Light Communication(VLC)has received widespread attention due to its advantages of high speed,low power consumption,and high security,but still faces challenges in network resource allocation.The article proposes a VLC network resource security allocation system based on artificial intelligence,which comprehensively utilizes deep reinforcement learning algorithms to optimize resource allocation strategies and integrates multiple security protection mechanisms.The experimental results show that the system can significantly improve the performance of VLC networks,laying the foundation for the large-scale application of VLC.
关键词
可见光通信/资源分配/人工智能Key words
Visible Light Communication(VLC)/resource allocation/artificial intelligence引用本文复制引用
出版年
2024
NETL
NSTL
万方数据