1. Pulse Event Targeting/Detection Scott Covert Jacob Cox

2. Outline Objective Project Overview and Concept Design Work Completed Challenges Lessons Learned

3. Objective Develop a multihop wireless sensor network capable of detecting sound and signaling base with a noise level and time of arrival (TOA). Use these values to triangulate the location of a one-time event. – Detect, Record, Multihop, Evaluate Data

4. Tools Leds User Button MicrophoneLight sensor ResetCharging Indicator Speaker The Keychain Alarm...a 130db alarm One 12 volt battery included. CYGWIN TinyOS NesC MATLAB

5. Multihop Wireless Sensor Network

6. The Program Make Config. Module.H

7. Main MicDetectM MicDriverlC LedsC Vrc Vrg MicThreshold MultiHopC TimerMilliC() StdTimerC MicInterupt Microphone MicControl (main) DelugeC Send Intercept RouteStatistics RouteControl StdControl SplitControl StdControl Comm StdControl StdTimer RecordTimerMilli TimerMilliC() RecordTimerMilliC Configuration

8. Durham County Wildlife Club

9. X3, y3 X2, y2 X0, y0 X1, y1 a b

10. dBA Levels (Problem Discovered) A = 20*log10(V2/V1) (dB) http://www.mogami.com/e/cad/db.html Silex Sound Attenuation White Paper SoundTmote Output One Meter 130 dB 4095 Car 80 dB 4095 Clap (1-10 Meter) 65 dB 4095 Whisper 20 dB2900-3500

11. Low dB Calibration ADC to Decibel Conversions ADC ReadingDecibel Level 292330 325160 385165

12. Experimental Results Low dB Experimental Results MOTETOASOA (ADC-mV)SOA (dB) 127.344330751.2259 227.344347156.9363 327.297348757.4789 TOA is Time of Arrival. SOA is Sound of Arrival. dB is the Decibel value of Sound. Radius Ratio of motes 1 and 2 = 1.93 Radius Ratio of motes 1 and 3 = 2.05 Mote 1 event distance: R1 = 1.93 Mote 2 event distance: R2 = 1 Mote 3 event distance: R3 =.94 Actual Distances were all 2.5 M. Error of 23% to 62% x

13. Challenges Tmote Invent Variability – Wind Sensitivity, Poor Quality Sensors New Programming Language & OS – NesC and TinyOS Learning Curve – Compile Times * time * time … Converting to Decibel – Clipping: 4095 (assumed mV) value as ceiling

14. Lessons Learned Acoustic Event Targeting – Sensitive to equipment variability – Look for equipment with self-diagnostics Push to improve our programming skills ECE 256 is Cool!

15. Event Location h b a X3, y3 X2, y2 x0, y0 x1, y1 x1-x0 y1-y0

16. Event Location h b a X3, y3 X2, y2 x0, y0 x1, y1 x1-x0 y1-y0 r0 r1