Marauder’s Map: Sniffing MAC addresses in the MIT wireless network [pdf]
courses.csail.mit.edu
courses.csail.mit.edu
At Brown University, complete connection logs for each wireless access point have been kept for no less than two years. A group of students last year were given this data and produced a (historical) map of student movement. There is no reason to believe that the University could not or is not rendering such a map in real-time.
As a general aside, when publishing documents that start off as LaTeX, putting them on Github (or some other Git hosting service) would potentially allow others to contribute corrections. There are a bunch of typos in the paper that would be trivial to correct, but of course there's no easy way to submit corrections to a PDF.
There is another post on my site about integrating live visualization with D3 as well.
I found that the metadata pertaining to signal strength to be too variable based on device manufacturer to be accurately used for a distance calculation without a lot of individual fine tuning or at the very least triangulation.
Triangulation runs into its problems though because of the inaccuracies of usb timing.
[1] http://www.imore.com/closer-look-ios-8s-mac-randomization