VNDN-Fuzzy - A strategy to mitigate the forwarding interests broadcast storm problem in VNDN networks

I. Cunha, J. Celestino, M. Fernandez, Ahmed Patel, M. Monteiro
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引用次数: 2

Abstract

Named Data Networking (NDN) has been considered a promising network architecture for Vehicular Ad Hoc Networks (VANETs), what became known as Vehicular Named-Data Networking (VNDN). This new paradigm brings the potential to improve Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) that are inefficient in urban intelligent transport scenarios. Despite the advantages, VNDN brings inherent problems, such as the routing interest packages on NDN, which causes serious problem in the vehicular environment. The broadcast storm attack results in a huge amount of packet loss, provoking transmission overload. In addition, the link disconnection caused by the highly dynamic topology leads to a low package delivery rate. In this article, we propose a strategy for forwarding packages of interest in VNDN networks, using fuzzy logic to mitigate the broadcast storm. The proposal also aims to avoid packet collision and efficient data recovery, which the approach is based on metrics such as the nodes distance, the link stability and the signal quality. The results show a reduction in the number of Interest and Data packets without disrupting network performance maintaining adequate Interest delays.
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VNDN- fuzzy -一种缓解VNDN网络转发兴趣广播风暴问题的策略
命名数据网络(NDN)被认为是车辆自组织网络(vanet)的一种很有前途的网络架构,后来被称为车辆命名数据网络(VNDN)。这种新模式为改善城市智能交通场景中效率低下的车对车(V2V)和车对基础设施(V2I)带来了潜力。尽管有这些优点,但VNDN也带来了一些固有的问题,例如NDN上的路由兴趣包,这在车载环境中会造成严重的问题。广播风暴攻击导致大量丢包,造成传输过载。此外,由于拓扑结构高度动态,导致链路断开,导致包的投递率较低。在本文中,我们提出了一种在VNDN网络中转发感兴趣的数据包的策略,使用模糊逻辑来减轻广播风暴。该方法基于节点距离、链路稳定性和信号质量等指标,旨在避免分组冲突和有效的数据恢复。结果表明,在不中断网络性能的情况下,兴趣和数据包的数量减少了,并保持了适当的兴趣延迟。
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