基于动态集群的风险意识拥堵控制技术用于车辆网络
Bhupendra Dhakad1, Sadhana Mishra2, Shailendra Singh Ojha3
1ITM University, Gwalior, Madhya Pradesh, India. bhupendradhakad.ece@itmuniversity.ac.in.
Scientific reports
|October 21, 2024
概括
本研究引入了动态汽车安全分组 (DGVS),以减少车辆特设网络 (VANET) 中的网络拥堵. 总体而言,DGVS显著减少了交通和通信延迟,提高了智能运输系统的整体网络性能.
科学领域:
- 智能运输系统 (ITS) 是一种智能运输系统.
- 车辆特设网络 (VANETs) 的使用
- 网络拥堵缓解 缓解网络拥堵
背景情况:
- 车辆特设网络 (VANET) 对道路安全和智能交通系统 (ITS) 中的先进服务至关重要.
- 在VANET中,网络拥堵对高效的数据传输和安全应用构成重大挑战.
- 现有的方法往往难以平衡性能与减少拥堵.
研究的目的:
- 提出和评估一种新的方法,即动态汽车安全分组 (DGVS),用于缓解 VANET 中的网络拥堵.
- 通过在定义的群体内实现直接车辆对车辆通信来提高通信效率和减少延迟.
- 根据通道条件优化传输速率,以实现平衡的数据包传输和拥堵控制.
主要方法:
- 使用DBSCAN和K-Means集群算法来创建虚拟区域的安全动态车辆分组 (DGVS) 的实施.
- 车辆在分配给它们的DGVS中直接进行通信,避免网络范围的广播.
- 通过基于模拟的研究评估DGVS的有效性,比较性能与现有方法.
主要成果:
- 与传统方法相比,DGVS在VANET中显著减少了网络拥堵.
- 在整体网络性能方面显著改善,包括减少通信延迟.
- 证明能够维持交通控制和安全应用的重要数据传输的能力.
结论:
- 拟议的安全动态车辆分组 (DGVS) 技术在减少VANET拥堵方面非常有效.
- 在网络性能和降低延迟方面,DGVS提供了显著的收益.
- 潜在的应用包括应急响应,交通管理和交通运输行业的事故预防.
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