Dataset of Wi-Fi packet captures including RSSI for different distances

The folder contains a dataset of Wi-Fi packet captures using a passive sniffing technique as described in : M. I. Syed, A. Fladenmuller, M. Dias de Amorim. Unity is strength: Improving Wi-Fi passive measurements through sniffer redundancy. Ad Hoc Networks, 2023, 151, pp.103287. https://doi.org/10.1016/j.adhoc.2023.103287 M. I. Syed. Wireless passive measurements: tool, redundancy, measurements, and analyses. Networking and Internet Architecture [cs.NI]. Sorbonne Université, 2023. English. https://theses.hal.science/tel-04258062 M. I. Syed, A. Fladenmuller, M. Dias de Amorim. PyPal: Wi-Fi Trace Synchronization and Merging Python Tool. [Technical Report] LIP6 UMR 7606, Sorbonne Université, France. 2022. https://hal.science/hal-03618014 Dataset In the experiment, ten sniffers capture packets from a given single source node at multiple distances (1m, 10m, 20m, 30m, 40m, and 50m). Each folder contains the dataset for a specific distance. In each folder, you will find three files: The raw data in `pcap` format. The raw data in `csv` format. Synchronized data in `csv` format after using the PyPal tool (https://hal.science/hal-03618014). In the file name, `Sx` indicates the number of the sniffer (`S01` to `S10`). Each file contains eight columns: | Frame_number | Frame_time_epoch | RSSI_dBm | Channel | Frame_type | Frame_subtype | Retransmission | Source_MAC_address | Sequence_number |` Note that : `Frame_number`: number of the received frame in the trace captured by the sniffer. `Sequence_number`: sequence number of the frame sent by our transmitter (Note that missing sequence numbers refers to frames that haven't been captured by the sniffer). The `Source_MAC_address` is identical in each trace as it refers to the MAC address of our transmitter. Devices The devices in the experiment were composed of a Raspberry Pi 4 node and an external Alfa antenna (AlfaAWUS051NH), both for the source node and the sniffers.