基于帧间空间的CSMA/CA无线网络拓扑推理

Shengxiang Li, Guangyi Liu, Ou Li, Siyuan Ding
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引用次数: 0

摘要

在本文中,我们提出了一种称为Wntiifs的新方法来推断CSMA/CA无线网络的拓扑结构,而无需在网络中合作或解码网络的消息。该方法根据帧间空间阈值将观察到的RF帧划分为会话原子,并确保会话原子仅由两个节点传输的帧组成。然后,在不同的观测时间窗提取每个原子中的链接。最后,对不同时间窗口的链路进行合并,重构出完整的网络拓扑结构。实验结果表明,与现有的无线网络拓扑推理算法相比,Wntiifs具有更高的拓扑推理精度。
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Topology inference for CSMA/CA wireless network based on inter frame space
In this paper, we propose a novel approach called Wntiifs to infer the topology of CSMA/CA wireless network without the need to cooperate in the network or decode the network's messages. The approach divides RF frames observed into session atoms according to an inter frame space threshold, and ensures that a session atom consists only of frames transmitted by two nodes. Then, it extracts the link in each atom in different observation time window. Finally, it merges the links in different time window to reconstruct the complete network topology. Experimental results demonstrate that, compared with the existing wireless network topology inference algorithms, Wntiifs is of higher topology inference accuracy.
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