Built in C and Python. Our program utilizes MacOS wireless connection tools to scan wifi access points and compare a user's wireless profile to a database of previously collected location based profiles. Based on this analysis, we are able to accurately guess a user's location.
The four included files are list.c, genHistory.sh, genTest.sh, and findloc.py.
This program is written in C. It will only work on a macOS operating system as it relies on the airport -s program native to Mac computers. This airport program scans all nearby wireless network access points and then lists their service set identifier (SSID), basic service set identifier (BSSID), and received signal strength indicator (RSSI) value among other wireless information. The program parses this information to output the SSID, BSSID, and RSSI of each access point associated with a UCLA wireless network.
This program is written in bash. It runs the list executable and then parses the output for all the BSSID values. After parsing the output, it adds the BSSID values to a csv file. Each row of the CSV file describes one location. The first value is the name of the location and each additional value is a BSSID that appears at that location. The name of the location is taken as an argument when the script is run.
This program is written in bash. It runs the list executable and then parses the output for all the BSSID values. It adds the BSSID values into a CSV file that contains only these BSSID values and nothing else. This is the CSV that we will use to compare against the historical data and make a location prediction.
This program is written in Python. It handles all the data parsing used to make the location prediction. The algorithm implemented for predicting the location is relatively simple. It takes each of the BSSID values in the genTest CSV file and looks for matches in each location of the genHistory CSV file. If a match is found, a count is incremented for that location. The location with the most matches to the genTest CSV data is the winner. The program then returns this location and prints the BSSID's that were matches.
First, we have to generate some historical data for the python script to compare scans against.
./genHistory.sh [name_of_location]
Afterwards, we have to generate data that will be used in order to test the utility of our wifi-localization program.
./genTest.sh