基于信息传输模型的车辆互联网可靠性的路边单位部署优化
1College of Management and Engineering, Capital University of Economics and Business, Beijing, China.
PloS one
|December 18, 2024
概括
在车辆互联网 (IoV) 中优化路边单元 (RSU) 部署可提高可靠性并降低成本. 本研究介绍了一种新型模型和算法,用于高效的RSU放置,提高IoV性能.
科学领域:
- 计算机科学 计算机科学
- 电气工程 电气工程
- 运输系统 运输系统
背景情况:
- 汽车互联网 (IoV) 实现了用于自动驾驶和交通安全的实时数据传输.
- 路边装置 (RSU) 对于提高IoV可靠性和传输效率至关重要,特别是在IoV透率低的情况下.
- 优化RSU部署对于最大限度地降低成本,同时确保IoV可靠性至关重要.
研究的目的:
- 为RSU部署开发双目标优化模型,最大限度地降低成本并最大限度地提高IoV可靠性.
- 为 IoV 引入一种基于距离的可靠性测量方法.
- 为了提高解决优化问题的效率.
主要方法:
- 为 IoV.构建了一个基于距离的可靠性测量.
- 利用信息传输模型计算在线和离线传输的距离分布.
- 开发了一个双目标优化模型 (成本最小化,可靠性最大化).
- 为提高解决效率设计了一个基于非域级的NSGA-II (NNSGA-II) 算法.
主要成果:
- 拟议的模型比以传输时间为重点的模型具有优势,在不同的交通场景中显示了高达18%的改进.
- NNSGA-II算法在计算上被证明比传统方法更有效.
- 双目标优化有效平衡了RSU部署成本和IoV可靠性.
结论:
- 开发的RSU部署优化模型和NNSGA-II算法提供了一种有效的方法来提高IoV性能.
- 这些发现为IoV基础设施的实际实施提供了宝贵的见解.
- 这项研究有助于推进可靠且具有成本效益的自动驾驶和交通安全系统.
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