Traffic-Aware Beacon Interval for Position-Based Protocols in VANETs

Álvaro T. Amaya, Alexandre A. P. Pohl, M. Fonseca, R. Lüders
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Abstract

Position-based protocols in vehicular ad-hoc networks (VANETs) depend on the transmission of periodic beacon messages to keep the nodes informed about the current position of their neighbors. However, an excessive load of beacons can drastically deteriorate the network performance. This work presents a novel adaptive vehicular traffic-aware strategy to compute the beacon interval in a position-based protocol. The strategy relies on three mobility factors: vehicular density, the mean difference of speed among neighbors, and the spatial distribution of neighbors. Its effectiveness is proven through extensive simulations in an urban mobility scenario using the packet delivery ratio, the average end-to-end delay, overhead, and processing time as the performance metrics. The results show that our approach maintains a high delivery ratio and low End-To-End delay, overhead, and processing time regardless of the density of the surrounding vehicular traffic. The results also show that our method uses the available beacon interval range more efficiently than another traffic-aware approach.
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VANETs中基于位置协议的流量感知信标间隔
车载自组织网络(VANETs)中基于位置的协议依赖于周期性信标消息的传输,以使节点了解其邻居的当前位置。但是,过多的信标负载会严重降低网络性能。本文提出了一种新的自适应车辆交通感知策略来计算基于位置的协议中的信标间隔。该策略依赖于三个流动性因素:车辆密度、邻居之间的平均速度差和邻居的空间分布。通过在城市移动场景中使用数据包传送率、平均端到端延迟、开销和处理时间作为性能指标的大量模拟,证明了其有效性。结果表明,无论周围车辆的密度如何,我们的方法都能保持高的交付率和低的端到端延迟、开销和处理时间。结果还表明,该方法比其他流量感知方法更有效地利用了可用信标间隔范围。
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