在车辆网络中使用自适应SDN进行高效的交通管理
Sherine Jenny Rajan1, Sugirtham Narayanaswamy1, Thiyaneswaran Balashanmugam2
1Department of ECE, Dr.Mahalingam College of Engineering and Technology, Coimbatore, Tamil Nadu, India.
Scientific reports
|April 6, 2025
概括
这项研究使用软件定义网络 (SDN) 增强车辆特设网络 (VANET),以更好地管理交通. 集成可以提高智能运输系统中的数据准确性,网络效率和服务质量.
科学领域:
- 智能运输系统 (ITS) 是一种智能运输系统.
- 计算机网络 计算机网络.
- 无线通信无线通信
背景情况:
- 车载特设网络 (VANET) 面临着数据不一致和动态拓变化的挑战.
- 有效的实时交通数据分析对于道路安全和拥堵管理至关重要.
- 现有的VANET架构在响应性和适应性方面扎.
研究的目的:
- 为VANETs开发一个响应和适应性的网络管理架构.
- 利用软件定义网络 (SDN) 来优化流量流和路由效率.
- 在动态的车辆环境中提高服务质量 (QoS).
主要方法:
- 实施软件定义网络 (SDN) 以在VANET中分离控制和数据层.
- 将优先级算法和Zigbee协议与SDN集成,以进行增强的流量分析.
- 使用COOJA软件对拟议的架构进行模拟,并使用Web数字化工具进行验证.
主要成果:
- 在流量管理和网络性能方面取得了显著的改进.
- 通过模拟来证明服务质量 (QoS) 的提高.
- 对于动态车辆网络的拟议SDN基础架构的验证准确性和可扩展性.
结论:
- SDN为管理动态车辆网络提供了可扩展和高效的解决方案.
- SDN与优先算法和Zigbee协议的集成有效地解决了VANET的挑战.
- 拟议的方法为智能交通系统提供了一个强大的框架,改善道路安全并减少拥堵.
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