2 scenarios, low Wi-Fi density and high Wi-Fi density
Accuracy improvement with the introduction of RFID
Not so signficant in highly dense W-Fi areas
RFID only solutions will have a smaller availability
Seattle, 3.11.2015
Thank you!
Are we there yet?
I think we are lost...
Indoor Wi-Fi and RFID
positioning
Description
Simulator for positioning using fingerprinting method
Pedro Silva
NxM room located in a LxL area, randomly placed
Tampere, Finland
Lisbon, Portugal
Results
K1, K2, ... Kn devices of different technologies
How?
User positioning
Building the database
Where are we?
Location
Mobile device reports heard access points
On the lookout for SSID, MAC, RSS
Database is queried
Saved in a database
Kaunistalo
Examples
Conclusion
It is worthy to deploy RFID in areas with a lower Wi-Fi density
RFID is expensive, other alternatives might be cheaper
Mobility Models
Simulator!
Random Direction
It's available for download at
Random Walk
Hybrid model
Random Waypoint
The main goal of the HM is to model user’s movement over small areas (office environment)
Boundless Area
Simulated scenarios
Hybrid model
Random direction
RMSE Comparison
Conclusions
The HM describes a scenario close to the office scene
The HM has better performance of RMSE value
Available online at http://www.cs.tut.fi/tlt/pos/Software.htm
pedro.silva@tut.fi
wenbo.wang@student.tut.fi
Department of Electronics and Communications Engineering
Room-level Indoor Positioning with Wi-Fi and RFID Fingerprints (1)
&
Investigations on Mobility Models and Their Impact on Indoor Positioning (2)
(1) Pedro Figueiredo e Silva and Elena Simona Lohan
(2) Wenbo Wang, Pedro Figueiredo e Silva and Elena Simona Lohan