GRAIL: Experiences Using a General Purpose Wireless Device Positioning

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GRAIL: Experiences Using a General Purpose Wireless Device Positioning

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Title: GRAIL: Experiences Using a General Purpose Wireless Device Positioning


1
GRAIL Experiences Using a General Purpose
Wireless Device Positioning
  • Presented by Richard Martin
  • Joint work with David Madigan, Eiman Elnahrawy,
  • Pervasive Workshop, Oct. 2007

2
Wireless Explosion
  • Technology trends creating cheap wireless
    communication in every computing device
  • Radio offers localization opportunity in 2D and
    3D
  • New capability compared to traditional
    communication networks
  • 4 technology communities
  • WLAN (802.11x)
  • Sensor networks (802.15.4)
  • Cell carriers(3G)
  • Active RFID

3
Challenge and Opportunity
  • General purpose localization analogous to general
    purpose communication!
  • Work on any device with little/no modification
  • Supports vast range of performance
  • Will drive new applications
  • Challenge Can we localize all device radios
    using only the communication infrastructure?
  • How much existing infrastructure can we leverage?
  • 1st Application Search
  • General purpose communication needed for global
    search
  • Can we make finding objects in the physical space
    as easy as Google ?

4
Vision to reality
  • Getting closer
  • This talk
  • Experiences with running an actual localization
    system for last 5 months

5
GRAIL
  • General-Purpose
  • Support wide range of technologies and modalities
  • Real-time
  • Adaptable
  • Support dynamic feedback from changing radio
    environment
  • Indoor
  • Outdoor use GPS
  • Localization

6
GRAIL Approach
7
Typical results
  • LCD projector with imbedded pipsqueak active RFID
    tag, Core 2

8
Lessons
  • Incorporating new technologies successful
  • Wifi, roll-call/pipsqueak, motes
  • Easy to detect motion
  • Signal strength stable at a given spot
  • Limitations using signal strength
  • Average error 15 ft
  • Worse case error 60 feet
  • Worse case is very bad for real applications

9
Future Directions
  • Improve worst case accuracy
  • High density landmarks/readers (100)
  • High frequency clocks and time-of-arrival\
  • Careful and dense signal strength maps discounted
  • High human costs, error prone, drift with time
  • Building higher-level services
  • Person location web-site (A-list)
  • Inventory control (with LCSR)
  • Incorporate privacy mechanisms
  • Drop data at landmarks, server, database
  • Anonymize

10
Demo
  • In Core 340 during the poster session
  • Watch the system track a laptop.
  • hide and seek with a laptop.
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