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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 – 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 Real-Time Localization Framework Tag Selection Tag Binning RSS Decay Models • Problem – Brands of tags have variable performance • Solution – Select tag brands based on performance PerformanceEnhancing Heuristics Real-Time Localization Framework Tag Selection Tag Binning RSS Decay Models PerformanceEnhancing Heuristics • Problem – Tags of the same brand have variable sensitivities • Solution – Bin tags based on their sensitivity Real-Time Localization Framework Tag Selection Tag Binning RSS Decay Models PerformanceEnhancing Heuristics • Problems – RF signal variability renders the Friis Eqn. useless – Environmental effects affecting RSS Real-Time Localization Framework Tag Selection Tag Binning RSS Decay Models PerformanceEnhancing Heuristics • Solution – Inspired by the Friis Equation [ThingMagic, Tag-10] RSS = -53.17D0.29 Friis Eqn. General Form Eqn. RSS = CDE [Alien, Tag-14] RSS = 3246.76D-0.89 Real-Time Localization Framework Tag Selection Tag Binning RSS Decay Models PerformanceEnhancing Heuristics • Solution – Model RSS decay with respect to tag-reader distance and tag orientation Real-Time Localization Framework Tag Selection Tag Binning RSS Decay Models • Proposed future work – Careful use of reference tags? – Auto-calibration routines – Real-time environmental information • Where we’re currently at PerformanceEnhancing Heuristics Creating a Realistic Deployment RFID Reader Internet Tablet Backend Host Mobile Robot with onboard reader and multi-tag Antenna 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 [cem8u@virginia.edu]
