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

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Smart Dust Motes Technology • Smart Dust Mote – Characteristic • Capacity of sensing, computation, wireless communication and data storage • Miniature size, inexpensive, network ready – Limitation • Limited energy • Limited communication range • Uncalibrated sensors • Less accurate sensors • Small sensing scope • Low robustness to local disturbances
Mote Sensor Characterization • Illuminance characterization • Temperature characterization 1200 1000 Data points Fitting curve 90 80 70 Illuminance (lux) Illuminance (lux) 800 600 400 200 0 600 650 700 750 800 850 900 950 1000 Digital Reading 1000 900 800 700 600 500 400 300 200 100 Sensorboard01 Sensorboard02 Sensorboard03 Sensorboard04 Sensorboard05 Sensorboard06 Sensorboard07 Sensorboard08 Sensorboard09 Sensorboard10 Sensorboard11 Sensorboard12 0 600 650 700 750 800 850 900 950 1000 1050 Digital Reading Temperature residuals ( °C ) Temperature residuals ( °C ) 60 50 data1 data2 40 data3 data4 30 data5 20 data6 data7 10 data8 data9 0 data10 data11 -10 0 100 200 300 400 500 600 700 800 SensorReadings 100 Data points Global mapping curve 80 Xbow's curve 60 40 20 0 -20 0 100 200 300 400 500 600 700 800 Sensor readings
Page 1 and 2: Presentation for Master of Science
Page 3: Intelligent Daylighting Control Sys
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 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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