writing a little
This commit is contained in:
@@ -34,12 +34,15 @@ To make a statement about the performance of our novel transition model presente
|
||||
\label{sec:exp:opti}
|
||||
|
||||
%wie viele ap sind es insgesamt?
|
||||
The \docAPshort{} positions as well as the fingerprints used for optimization can be seen in fig. \ref{fig:apfingerprint}.
|
||||
As described in section \ref{sec:wifi} we used \SI{42}{} WEMOS D1 mini to provide a \docWIFI{} infrastructure throughout the building.
|
||||
The position of every installed beacon was measured using a laser scanner.
|
||||
This allows a comparison with the optimized \docAPshort{} positions.
|
||||
Within all Wi-Fi observations, we only consider the beacons, which are identified by their well-known MAC address.
|
||||
Other transmitters like smart TVs or smartphone hotspots are ignored as they might cause estimation errors.
|
||||
The position of every installed beacon was measured using a laser scanner.
|
||||
This allows a comparison with the optimized \docAPshort{} positions.
|
||||
Fig. \ref{fig:apfingerprint} illustrates the results of the global and the per-floor method for all \docAPshort{}'s installed to ground level.
|
||||
|
||||
|
||||
|
||||
|
||||
Fig. compares optimized ap vs real positions for the ground level, thus we only illustrated optimized ap', which are really installed there. red created using the global optimization scheme, blue a optimized only for the rechteckigen ground floor.
|
||||
|
||||
|
||||
Reference in New Issue
Block a user