Abstract

In urban Vehicular Ad-hoc Networks (VANETs), disseminating traffic data efficiently is challenging due to the dynamic and complex nature of the network. Multi-hop-based broadcasting approaches are commonly used to address this issue. However, selecting the optimal relay nodes poses a challenge and directly impacts network performance. Existing relay selection strategies, such as beacon-based methods, have limitations in scaling under different traffic conditions. This paper proposes a multi-attribute relay selection strategy for urban multi-hop VANETs to overcome these challenges. The strategy evaluates the rebroadcast capability of each receiving node based on its real-time status. It utilizes a fuzzy-BCM-based weight estimation strategy to determine the contribution of each attribute to the node’s capability. The node with the highest broadcasting capability is given priority to access the channel and broadcast the data packet. The proposed scheme is evaluated through simulation tests in VANET simulation environments, considering various traffic flow and speed variations. Performance comparison with four benchmark methods is conducted. The results show that the proposed scheme improves the overall dissemination efficiency by 51.1% compared to the benchmarked methods.

中文翻译：

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使用基于模糊 BCM 决策策略的分布式中继选择，用于 VANET 中的多跳数据传播

摘要

在城市车载自组织网络 (VANET) 中，由于网络的动态性和复杂性，有效传播交通数据具有挑战性。基于多跳的广播方法通常用于解决这个问题。然而，选择最佳中继节点是一个挑战，并直接影响网络性能。现有的中继选择策略，例如基于信标的方法，在不同流量条件下的扩展方面存在局限性。本文提出了一种城市多跳车载自组织网络的多属性中继选择策略来克服这些挑战。该策略根据每个接收节点的实时状态来评估其重播能力。它利用基于模糊 BCM 的权重估计策略来确定每个属性对节点能力的贡献。广播能力最高的节点优先接入信道并广播数据包。通过在 VANET 仿真环境中进行仿真测试，考虑各种交通流和速度变化，对所提出的方案进行了评估。与四种基准方法进行了性能比较。结果表明，与基准方法相比，该方案的整体传播效率提高了 51.1%。