基于时延阈值的车载Ad Hoc网络负载感知路由

Yong Feng, Mingyu Fan, Qiwei Xiao, Lishu Wang
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引用次数: 2

摘要

据设想,在不久的将来,各种各样的应用程序可以在车载自组织网络(vanet)上运行。这些应用程序的共存表明它们将为无线媒体的使用而竞争。在高交通密度的城市地区,这很容易导致严重的拥堵甚至“热点”问题,并导致时间关键型应用的失败。为了解决这个问题,我们提出了两种carry-and-forward方案,分别称为LARD-Greedy和LARD-Optimal,它们试图沿着性能最优的路径传输数据包。该算法利用局部或全局的流量统计知识来选择性能最优的路径,并根据当前负载状态在承载策略和多跳转发策略之间合理交替,以避免拥塞。基于真实城市地图的实验结果表明,所提出的方案在分组传送率和延迟方面都取得了很好的性能。
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Load Aware Routing with Delay Threshold for Vehicular Ad Hoc Networks
It is being envisaged that a wide variety of applications can be running on vehicular ad hoc networks (VANETs) in the near future. The coexistence of these applications suggests that they will be competing for the use of the wireless medium. That easily leads to severe congestion and even “hotspot” problem in high traffic density urban areas, and results in the failure of time-critical applications. To address this issue, we propose two carry-and-forward schemes called LARD-Greedy and LARD-Optimal respectively that attempt to deliver packets along the path with optimal performance. The proposed algorithms leverage local or global knowledge of traffic statistics to choose the path with optimal performance, and rationally alternate between the Carrying and Multihop Forwarding strategies according to the current load status in order to avoid congestion. Experimental results based on a real city map show the proposed solutions reach very good performance in terms of packet delivery ratio and delay.
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