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

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Mote Sensor Characterization 850 • Accelerometer evaluation Sensor Reading 800 750 700 650 600 550 Chair is empty mote13 x mote13 y mote14 x mote14 y Start sitting in the chair Sit steady in the chair Swing the chair while sitting on it Leave the chair 500 0 200 400 600 800 1000 1200 1400 1600 1800 2000 Time (sec) Accelometer Readings 545 540 535 Sensor Reading 530 525 520 515 510 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 Time (sec)
BESTnet • BESTnet v. 1.0 – Centralized single-hop sensor network – 6 motes in a 3-by-2 matrix under a dimmable lighting fixture • BESTnet v. 1.1 – Centralized multi-hop sensor network – 10 motes (6 sensor nodes 4 relay nodes) distributed to 3 desks • Message packet Destination address 2 bytes Active message handler ID 1 byte Source mote ID 2 bytes Group ID 1 byte Last sample no. 2 bytes Message length 1 byte ADC channel 2 bytes Payload Up to 29 bytes Data array 102bytes
Page 1 and 2: Presentation for Master of Science
Page 3 and 4: Intelligent Daylighting Control Sys
Page 5: Mote Sensor Characterization • Il
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 and 16: Comparison of Fusion Algorithms Tru
Page 17 and 18: Conclusion • Sensor aspect - Phot
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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