应用先进的计算算法用于车辆网络的合作通信传输:一种拟议的方法方法
1School of Electronic & Information Engineering, Changchun University of Science and Technology, Changchun, Jilin, China.
PeerJ. Computer science
|December 11, 2023
概括
本研究引入了使用先进算法的汽车互联网 (IoV) 的新协作传输方法. 拟议的方法通过优化无线电资源分配来提高远程通信服务质量 (QoS) 和系统收入.
科学领域:
- 智能运输系统 智能运输系统
- 远程通信技术 远程通信技术
- 车辆通讯 车辆通讯
背景情况:
- 远程通信对于未来的智能交通系统至关重要,它可以实现车辆对车辆,车辆对网络和车辆对人员的通信.
- 传统的优化方法与互联汽车网络环境的复杂和动态性质作斗争.
- 提高交通流的安全性和效率依赖于强大的远程通信.
研究的目的:
- 提出在车辆互联网 (IoV) 中协作传输的新方法.
- 在复杂的车辆网络环境中解决传统优化理论的局限性.
- 提高服务质量 (QoS) 和远程信息系统的长期收入.
主要方法:
- 使用多智能先进计算算法的协作通信传输机制的开发.
- 在网络切片中考虑车辆移动性和QoS要求.
- 在扩展的时间尺度上调整无线电资源分配和参数设置.
主要成果:
- 拟议的算法在远程信息传输中比传统方法显著提高了性能.
- 优化车辆到基础设施 (V2I) 链路容量高于在相同负载条件下的基线策略.
- 观察到远程服务的增强的 QoS 和系统收入的增加.
结论:
- 拟议的多智能算法有效地构建了IoV的协作通信传输机制.
- 该方法通过优化资源配置,成功地提高了远程信息服务质量 (QoS) 和系统收入.
- 这种方法为提高未来智能运输系统性能提供了卓越的解决方案.
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