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Intelligent Energy Management for Body Sensor Networks

Intelligent Energy Management for Body Sensor Networks. WTBU Emerging Markets & Innovation Leo Estevez, Ph.D. Natural & Synthetic Body Networks. Self Preservation Invisible (Battery) Predictive (Memory) Energy Systems Ambient Kinetic Potential Energy Management Sensory Memory.

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Intelligent Energy Management for Body Sensor Networks

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  1. Intelligent Energy Management for Body Sensor Networks WTBU Emerging Markets & Innovation Leo Estevez, Ph.D.

  2. Natural & Synthetic Body Networks • Self Preservation • Invisible (Battery) • Predictive (Memory) • Energy Systems • Ambient • Kinetic • Potential • Energy Management • Sensory • Memory

  3. Ambient Energy Systems

  4. Natural Ambient Energy Systems

  5. Solar Ambient Energy • Solar (1000W/m2) • GaAs • 247mW/cm2 (IMEC) • PV-TV • 3.8W/ft2 Picture Courtesy of UTD

  6. Thermal Ambient Energy • Head • 30 uW/cm2 • Wrist • 100uW Research/Pictures from IMEC

  7. RF Ambient Energy 0.8in (20mm) 0.8in (20mm) Mini-Reader Module • GSM-900 (2W) • @1m 2mW • HF RFID (200mW) • @1cm 16mW

  8. Kinetic Energy Systems

  9. Natural Kinetic Energy Systems

  10. Translational Kinetic Energy • Shoe • 20mW • Vibration • uWs Picture Courtesy of UTD Lab

  11. Rotational Kinetic Energy • Watch • uWs • Shoe • 3.2W Picture/Research from NYU

  12. Potential Energy Systems

  13. Natural Potential Energy Systems

  14. Voltage Potential Energy • Standby • MSP430 - 800 nA • Active • MSP 430 - 65uW/MHz • ARM Cortex - 450uW/MHz

  15. RF Potential Energy • Selectivity • Collision Avoidance

  16. Sensory Energy Management

  17. Natural Sensory Energy Management

  18. Location Sensors • A-GPS • Seconds • Zigbee • Milliseconds Enabler IIA-GPS 31 x 46 x 3.1 mm

  19. Activity Sensors 2 1.5 1 0.5 0 1 4 7 10 13 16 19 22 25 28 31 34 37 40 43 46 49 52 55 58 61 64 67 70 73 -0.5 -1 -1.5 • Accelerometers • 500uA • Altimeters • 5uA

  20. Memory Energy Management

  21. Natural Memory Energy Management Slow/Learning Fast/Working

  22. Working Memory Energy Management • Fast/Working • Low Power/Capacity • Slow/Learning • High Power/Capacity

  23. Learning Memory Energy Management SEND PREDICTION ERROR

  24. eZ430-RF2480 Demonstration Kit • Evaluate Z-Accel today with comprehensive USB-based wireless development tool • The eZ430-RF2480 Demo Kit: • Allows fast evaluation of Z-Accel • Interfaces an MSP430F2274 to the CC2480 • Demonstrates the Simple API command interface • Available now for only $99 (US$) ZigBee Processor USB or Battery Powered MSP430F2274(backside)

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