WIFISIM: Simulating WiFi Probe Requests VIA AOSP Analysis And Device Behavior Modeling

WiFi probe request (PR) frames encode fine-grained device interactions and serve as a critical basis for mobility and crowd analytics. However, pervasive MAC address randomization and the scarcity of labeled datasets hinder progress in PR-based studies. We introduce WiFiSim, a simulation framework that reconstructs PR generation through Android Open Source Project (AOSP) protocol analysis and finite-state device behavior modeling. WiFiSim identifies the key determinants of PR structure and timing while capturing realistic user-driven state transitions. Experiments show that WiFiSim achieves less than 5% deviation from real measurements in both distributional and temporal dynamics, scales to large-scale dataset synthesis, and enables reliable evaluation of downstream applications. Source code and sample datasets are publicly released to foster reproducible research.

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Publication Details

Published
2026-04-21
DOI
https://doi.org/10.1109/icassp55912.2026.11460497
Primary Topic
Wireless Networks and Protocols
Type
article
Field-Weighted Citation Impact
0.00

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article

WIFISIM: Simulating WiFi Probe Requests VIA AOSP Analysis And Device Behavior Modeling

Bing Jia, Baoqi Huang, Lifei Hao, Min Wang et al.
Wireless Networks and Protocols
article

WIFISIM: Simulating WiFi Probe Requests VIA AOSP Analysis And Device Behavior Modeling

Bing Jia, Baoqi Huang, Lifei Hao, Min Wang, Yue Cheng
article en

Abstract

WiFi probe request (PR) frames encode fine-grained device interactions and serve as a critical basis for mobility and crowd analytics. However, pervasive MAC address randomization and the scarcity of labeled datasets hinder progress in PR-based studies. We introduce WiFiSim, a simulation framework that reconstructs PR generation through Android Open Source Project (AOSP) protocol analysis and finite-state device behavior modeling. WiFiSim identifies the key determinants of PR structure and timing while capturing realistic user-driven state transitions. Experiments show that WiFiSim achieves less than 5% deviation from real measurements in both distributional and temporal dynamics, scales to large-scale dataset synthesis, and enables reliable evaluation of downstream applications. Source code and sample datasets are publicly released to foster reproducible research.

Inner Mongolia University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Inner Mongolia
Openalex Percentile: Top 100%
Wireless Networks and Protocols
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