A knowledge-sharing event investigating current opportunities and the future of context-aware information delivery on mobile devices. Active-RFID Navigation

AIMS Explore the potential for using active RFID tags as navigation beacons Mark-up of indoor & outdoor spaces Help mobile users to discover “services” Assist with navigation in unknown spaces

Explore the potential for using active RFID tags as navigation beacons

Mark-up of indoor & outdoor spaces

Help mobile users to discover “services”

Assist with navigation in unknown spaces

Approach Use Active Wavetrend RFID tags as beacons 433 MHz, unique ID and Site Code Measure received signal-strength (RSSI) Fixed tags, mobile RFID reader RSSI v. range, repeatability, variability, ageing? Inverse look-up for position estimation?

Use Active Wavetrend RFID tags as beacons

433 MHz, unique ID and Site Code

Measure received signal-strength (RSSI)

Fixed tags, mobile RFID reader

RSSI v. range, repeatability, variability, ageing?

Inverse look-up for position estimation?

Tag-A Tag-B Tag-C Tag-D RSSI-C RSSI-A RSSI-D RSSI-B RSSI-C RSSI-D RSSI-B RSSI-A

Demonstrator Overview measure tag signal strength at set distances from reader analyse suitability for reverse lookup (repeatability) mapping of spaces (RSSI curves different) reverse lookup algorithms

measure tag signal strength at set distances from reader

analyse suitability for reverse lookup (repeatability)

mapping of spaces (RSSI curves different)

reverse lookup algorithms

Example Data: RSSI v. Range

Example Data: Repeatability

Example Data: Variability

Issues readers and tags directionality non-monotonicity of RSSI v. range older tags less reliable impact of environment - clutter

readers and tags directionality

non-monotonicity of RSSI v. range

older tags less reliable

impact of environment - clutter

Preliminary Conclusions the data implies location estimation is possible … but will be a challenge mapping of RSSIs in space will be required further work on location algorithms required complex mappings required probabilistic location algorithms

the data implies location estimation is possible … but will be a challenge

mapping of RSSIs in space will be required

further work on location algorithms required

complex mappings required

probabilistic location algorithms

Next Steps multiple readers map RSSI in space (contour maps) Environmental factors use position estimate to trigger content delivery e.g. audio location algorithms based on probability

multiple readers

map RSSI in space (contour maps)

Environmental factors

use position estimate to trigger content delivery e.g. audio

location algorithms based on probability