在混合C-V2X/DSRC车辆网络中基于资源意识的DBSCAN重新集群
Jaafar Sadiq Alrubaye1,2, Behrouz Shahgholi Ghahfarokhi1
1Faculty of Computer Engineering, University of Isfahan, Isfahan, Iran.
PloS one
|October 30, 2023
概括
本研究介绍了5G车辆到一切 (V2X) 通信的新路由协议. 增强的集群方法显著提高了对自动驾驶汽车的频谱效率,数据包传输和基站负载平衡.
科学领域:
- * 5G 无线网络
- * 车辆到一切 (V2X) 通信
- * 自动驾驶汽车网络
背景情况:
- * 越来越多的自动驾驶汽车需要在5G网络中进行强大的V2X通信.
- *蜂V2X (C-V2X) 面临着有限的许可频谱的挑战,影响了可扩展性和网络访问管理.
- * 基站 (BS) 不平衡的负载和共同通道干扰阻碍了蜂V2X的最佳资源利用.
研究的目的:
- *为混合C-V2X/专用短距离通信 (DSRC) 车载网络提出一种资源意识的路由协议.
- * 解决5G V2X系统内负载平衡和资源管理方面的挑战.
- * 增强聚类机制,以提高网络性能.
主要方法:
- * 实现混合C-V2X/DSRC车辆网络架构.
- *利用基于集群的路由,集群头 (CHs) 管理DSRC流量,并通过C-V2X.X向BS转发.
- * 基于基于噪音的应用程序密度的空间聚类 (DBSCAN) 的增强聚类算法的开发,结合BS资源的可用性.
主要成果:
- * 拟议的资源意识路由协议显著提高了BS负载平衡的90%以上.
- *与基线方法相比,频谱效率提高了至少79%.
- * 包裹交付率至少有5%的改善.
结论:
- * 基于DBSCAN的增强重新聚类方法有效地解决了5G V2X网络中的BS负载失衡问题.
- * 拟议协议在频谱效率和数据包交付等关键性能指标方面取得了实质性的改进.
- *这种方法为管理越来越复杂的车辆通信系统中的资源提供了可扩展和高效的解决方案.
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