基于分组分类的速度感知流管理缓解vanet中的拥塞

You-Chiun Wang, Cheng-En Ho
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引用次数: 0

摘要

由于业务的多样性,在车载自组织网络(VANET)中可能存在许多具有不同紧迫性和重要性的数据包流。在交通堵塞时,许多车辆竞相发送数据包,导致网络拥塞。此外,当事故发生时,检测到事故的车辆将广播安全关键信息以警告其他车辆,这可能会加剧拥堵,从而导致许多信息的丢失。为此,本文提出了一种基于分组分类的速度感知流管理(SFM-PC)方案。在SFM-PC中,数据包将根据其服务进行分类。每辆车根据自己的速度,根据当地的交通状况自行调整数据包的传输速率。车辆在接收安全关键信息的数据包时,使用数据包整合来减少重复信息的传播。通过仿真,我们证明了SFM-PC方案可以有效地缓解VANET中的拥塞,并且丢包率比其他方法低得多。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Speed-Aware Flow Management with Packet Classification to Mitigate Congestion in VANETs
Due to service diversity, there may be many packet flows with different urgency and importance in a vehicular ad hoc network (VANET). In a traffic jam, numerous vehicles vie to send packets, which leads to network congestion. Moreover, when accidents occur, the vehicles detecting them will broadcast safety-critical messages to warn others, which could worsen congestion and thus cause the loss of many messages. To this end, the paper proposes a speed-aware flow management with packet classification (SFM-PC) scheme. In SFM-PC, packets will be classified by their services. According to its speed, each vehicle gauges the traffic conditions locally and adjusts the transmission rate of packets by itself. On receiving the packets of safety-critical messages, vehicles use packet consolidation to reduce the dissemination of duplicate messages. Through simulations, we demonstrate that the SFM-PC scheme can efficiently mitigate congestion in a VANET, where it has a much lower packet loss rate than other methods.
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