IEEE 802.11
This dataset supports the BWiFi framework, an intelligent method to identify optimal Wi-Fi zones in mesh networks. The home dataset, collected over one month across 36 zones, and the office dataset, collected over two months across 40 zones, systematically measure Wi-Fi quality and application performance metrics. Using clustering techniques and heuristic analysis, BWiFi evaluates zone performance to recommend optimal connectivity areas.
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The dataset accompanies the study titled “Rate Adaptation Algorithms in WLANs: A Comparative Analysis of Iwl-Mvm-Rs and Minstrel-HT Under Different Frame Error Causes.” This dataset contains simulation results that evaluate the performance of the Iwl-Mvm-Rs and Minstrel-HT Rate Adaptation Algorithms (RAAs) under varying frame error conditions, specifically low Signal-to-Noise Ratio (SNR) and collision-induced errors.
The data was generated using ns-3 simulations across four scenarios:
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In the conducted experiments using the ns-3 simulator, the performance of the Collision-Aware-Intel (CA-Intel) algorithm was evaluated under varying conditions to simulate different causes of frame errors. Key data points include:
1. Number of Clients (Transmitters): The number of clients varied between 1 and 6 to create different levels of network congestion and induce collisions. For a single client, errors were primarily attributed to poor SNR. As the number of clients increased, collision-induced errors became more prevalent.
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