Protocol Violations in the WiFi Distributed Coordination Function of Raspberry Pi 4

Teigen, Bjorn Ivar; Davies, Neil; Ellefsen, Kai Olav; Skeie, Tor; Tørresen, Jim

doi:10.23919/wons54113.2022.9764440

Cited by 1 publication

(1 citation statement)

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“…The ∆Q performance metric has proven useful as a design and reasoning tool in real-world scenarios. Haeri et al [12] describe how ∆Q was used to design the Cardano blockchain, and Teigen et al [14] used it to uncover protocol violations in the WiFi implementation on the Raspberry Pi 4B. More details on ∆Q are described in section III.…”

Section: Introductionmentioning

confidence: 99%

Quantifying the Quality Attenuation of WiFi

Teigen

Davies²,

Ellefsen

et al. 2022

2022 IEEE 47th Conference on Local Computer Networks (LCN)

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WiFi is one of the most widely deployed networking technologies, and understanding WiFi performance is therefore of great importance. The WiFi MAC layer sometimes introduces significant and variable delays. No existing models of the WiFi protocol describe WiFi performance in terms of complete latency distributions. In this work, we present a novel model of WiFi performance. We explicitly define our model in terms of the latency introduced at each step in the protocol state machine, and the model produces complete latency distributions. We validate the model by comparing its outputs to previous modeling work and real-world measurements. Finally, we use our results to quantify the latency distribution of WiFi as a function of the duration of transmit opportunities and the number of stations competing for the channel. Quantifying this relation represents a significant improvement in our understanding of WiFi performance that would not be possible with existing models.

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Section: Introductionmentioning

confidence: 99%