Adaptive Cleaning Adaptive Cleaning for RFID Data for RFID Data Streams Streams Presented by Willie and Abhishek Shawn Jeffery Minos Garofalakis Michael Franklin UC Berkeley Intel Research Berkeley UC Berkeley Disclaimer: The slides are taken from Jeffrey’s talk at VLDB ‘06
Shawn Jeffery Minos Garofalakis Michael Franklin UC Berkeley Intel Research Berkeley UC Berkeley . Adaptive Cleaning for RFID Data Streams. Presented by Willie and Abhishek. Disclaimer: The slides are taken from Jeffrey’s talk at VLDB ‘06. - PowerPoint PPT Presentation
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
Adaptive Cleaning for Adaptive Cleaning for RFID Data StreamsRFID Data Streams
Presented by Willie and Abhishek
Shawn Jeffery Minos Garofalakis Michael Franklin UC Berkeley Intel Research Berkeley UC Berkeley
Disclaimer: The slides are taken from Jeffrey’s talk at VLDB ‘06
04/22/23
RFID: Radio Frequency RFID: Radio Frequency IDentificationIDentification
04/22/23
RFID data is dirtyRFID data is dirtyShelf 0 Shelf 1
RFIDReaders
StaticTags
Mobile Tags
15ft1.5ft
3ft9ft
3ft
3ft
3ft
A simple experiment:•2 RFID-enabled shelves•10 static tags•5 mobile tags
04/22/23
RFID Data CleaningRFID Data Cleaning
Time
Raw readings
Smoothed output
• RFID data has many dropped readings• Typically, use a smoothing filter to
interpolateSELECT distinct tag_idFROM RFID_stream [RANGE ‘5 sec’]GROUP BY tag_idBut, how to set the size
of the window?
Smoothing Filter
04/22/23
Window Size for RFID Window Size for RFID SmoothingSmoothing
Fido moving Fido resting
Small windowRealityRaw readings
Large window
Need to balance completeness vs. capturing tag movement