Smart Dust Sensor Mote Characterization, Validation, Fusion and ...

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Mote-based Actuation • Hardware setup – Four 3V power port on prototyping board as 4 digital output (16 states defined) – 4 bit digital-to-analog converter – Current-to-voltage amplifier for D/A converter • Challenges – Low actuation state resolution – Reliability of actuating command – Nonlinear behavior of dimmable ballast
Conclusion • Sensor aspect – Photoconductors don’t have linear behaviors – Accelerometers could be fused with other alternative occupancy sensors • Sensor validation and fusion aspect – Mote-FVF algorithm is capable of extracting pertinent information and rejecting failures – Simple enough to be embedded in the programmable motes for intra- and inter-network data fusion – Works for both redundant and disparate sensor fusion • Mote actuation aspect – States of mote actuation could also be fused to boost the overall efficiency and accuracy
Page 1 and 2: Presentation for Master of Science
Page 3 and 4: Intelligent Daylighting Control Sys
Page 5 and 6: Mote Sensor Characterization • Il
Page 7 and 8: BESTnet • BESTnet v. 1.0 - Centra
Page 9 and 10: How Fuzzy Validation and Fusion Ove
Page 11 and 12: Mote-FVF Validation • Fuzzy rules
Page 13 and 14: Mote-FVF Prediction • Fuzzy rule
Page 15: Comparison of Fusion Algorithms Tru
Page 19 and 20: Majority Voting (Correlation among
Page 21: Mote-based Actuation Architecture A

Smart Dust Sensor Mote Characterization, Validation, Fusion and ...

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