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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

https://goo.gl/GHlSbK

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

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