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Real-Time RFID Localization Using RSS. Kirti Chawla, Christopher McFarland , Gabriel Robins, Connor Shope Presenter: Christopher McFarland [cem8u @ virginia.edu]. Background. The necessity for locating objects Limitations of current solutions: Expensive equipment - PowerPoint PPT Presentation
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Real-Time RFID Localization Using RSS
Kirti Chawla, Christopher McFarland, Gabriel Robins, Connor Shope
Presenter: Christopher McFarland [[email protected]]
Background
• The necessity for locating objects• Limitations of current solutions:– Expensive equipment– Nontrivial computational processing– Unrealistic constraints
Objective• Simple! To locate objects in a given environment
• Criteria for a successful system:– Adaptive– Scalable– Accurate– Fast– Realistic
Why RFID?
• Scalable• Wide range of environments• Remove unrealistic constraints?• Deliver next generation of localization services
Sneak Peek
• Our proposed solution• How?
A Key Insight
• Ideal tag-reader pairs unlock higher performance
• Problem– Brands of tags have variable performance
• Solution– Select tag brands based on performance
Real-Time Localization Framework
Real-Time Localization Framework
• Problem– Tags of the same brand have variable sensitivities
• Solution– Bin tags based on their sensitivity
• Problems– RF signal variability renders the Friis Eqn. useless– Environmental effects affecting RSS
Real-Time Localization Framework
Real-Time Localization Framework
Friis Eqn.Friis Eqn. General Form Eqn.
RSS = CDE
General Form Eqn.
RSS = CDE
[Alien, Tag-14]
RSS = 3246.76D-0.89
[Alien, Tag-14]
RSS = 3246.76D-0.89
[ThingMagic, Tag-10]
RSS = -53.17D0.29
[ThingMagic, Tag-10]
RSS = -53.17D0.29
• Solution– Inspired by the Friis Equation
• Solution– Model RSS decay with respect to tag-reader
distance and tag orientation
Real-Time Localization Framework
• Proposed future work– Careful use of reference tags?– Auto-calibration routines– Real-time environmental information
• Where we’re currently at
Real-Time Localization Framework
Creating a Realistic Deployment
Antenna
Mobile Robot with onboard reader
and multi-tag
RFID Reader
Backend Host
TabletInternetInternet
Some Results
Black Actual location
Blue Reported for [ThingMagic, Tag 10] [0.3—1.2m], 0.75m avg*
Red Reported for [Alien, Tag 14] [0—1.14m], 0.57m avg**Ranges and averages include outliers
Have we met the criteria?
• Adaptive• Scalable• Accurate• Fast• Realistic
Real-Time RFID Localization Using RSS
Kirti Chawla, Christopher McFarland, Gabriel Robins, Connor Shope
Presenter: Christopher McFarland [[email protected]]