Best Wi-Fi Zone Dataset in Home & Office

Citation Author(s):
Kavin Kumar
Thangadorai
Indian Institute of Technology Madras
Submitted by:
Kavin Thangadorai
Last updated:
Wed, 01/22/2025 - 12:23
DOI:
10.21227/1dr2-ae34
Data Format:
*.csv
License:
Creative Commons Attribution
58 Views
Categories:
Wireless Networking
Machine Learning
Keywords:
IEEE 802.11, Wi-Fi, Mesh Networks, Home Networks, Wi-Fi Localization, Quality of Experience (QoE), Best Wi-Fi Zones, Machine Learning.
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Abstract 

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. The datasets demonstrate improved Wi-Fi performance, including up to 17 dB Signal-to-Noise Ratio gain, a 4% Packet Error Rate reduction, and 15 ms lower latency. These insights validate BWiFi's effectiveness for enhancing user experience in real-world scenarios.

Instructions: 

Instructions for Interpreting the BWiFi Dataset

The BWiFi datasets include metrics collected from home (36 zones over one month) and office (40 zones over two months) environments, showcasing Wi-Fi quality and application performance. Below are guidelines for interpreting the dataset features:

  1. LocationNumber:

    • Represents the zone number where data was collected.
    • Ranges from 1–36 for the home dataset and 1–40 for the office dataset.

  2. RSSI (dBm):

    • Received Signal Strength Indicator, showing the signal strength at the given location.
    • Higher values (closer to 0) indicate better signal quality.

  3. PER (%):

    • Packet Error Rate, indicating the percentage of packets lost or requiring retransmission.
    • Lower values indicate more reliable connectivity.

  4. TxLinkSpeed (Mbps) and RxLinkSpeed (Mbps):

    • Represent the transmission and reception link speeds, respectively, between the client and the Access Point (AP).
    • Higher values indicate faster data transfer rates.

  5. ChannelUtil (%):

    • Channel utilization percentage, showing how much of the channel is being used.
    • Lower utilization suggests less interference and congestion.

  6. MainAPConnect:

    • A binary feature indicating whether the client is connected to the Main AP (1) or an extender (0).
    • Helps differentiate performance between AP and extender zones.

  7. TxThroughput (Mbps) and RxThroughput (Mbps):

    • Represent the actual transmission and reception throughput achieved in the respective zone.
    • These values reflect real-world performance during data collection.

  8. AvgPingLatency (ms):

    • Average latency measured using ping tests to a server.
    • Lower latency is essential for applications like video calls and gaming.

  9. TotalTxMB (MB) and TotalRxMB (MB):

    • Total transmitted and received data volumes in megabytes.
    • Used to track overall data usage per zone.

  10. Environment Setup:

    • Home Dataset: Collected in a 36-zone home environment with one AP and one extender.
    • Office Dataset: Collected in a 40-zone office layout with one AP and three extenders across two floors.

Usage Notes:

  • The dataset supports performance evaluation for Wi-Fi mesh networks.
  • Correlations between features like RSSI, PER, and throughput can help identify zones with optimal connectivity.
  • Recommended zones (best Wi-Fi zones) can be derived using clustering and heuristic techniques, as demonstrated in the associated BWiFi paper.

These datasets enable researchers and developers to validate machine learning techniques for enhancing Wi-Fi performance and user experience.

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