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

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

3. Ambient Energy Systems

4. Making Wireless Natural Ambient Energy Systems

5. Making Wireless Solar Ambient Energy Solar (1000W/m 2 ) –GaAs 247mW/cm 2 (IMEC) –PV-TV 3.8W/ft 2 Picture Courtesy of UTD

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

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

8. Kinetic Energy Systems

9. Making Wireless Natural Kinetic Energy Systems

10. Making Wireless Translational Kinetic Energy Shoe –20mW Vibration –uWs Picture Courtesy of UTD Lab

11. Making Wireless Rotational Kinetic Energy Watch –uWs Shoe –3.2W Picture/Research from NYU

12. Potential Energy Systems

13. Making Wireless Natural Potential Energy Systems

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

15. Making Wireless RF Potential Energy Selectivity Collision Avoidance

16. Sensory Energy Management

17. Making Wireless Natural Sensory Energy Management

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

19. Making Wireless Activity Sensors Accelerometers –500uA Altimeters –5uA

20. Memory Energy Management

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

22. Making Wireless Working Memory Energy Management FRAMEEPROMFlash Nonvolatile PrincipleFerroelectricityCharge Storage Read Cycle85 -110nsec200nsec90nsec Internal Program Voltage 5V/3.3V18V12V Write Cycle85-110nsec5msec1sec Fast/Working –Low Power/Capacity Slow/Learning –High Power/Capacity

23. Making Wireless Learning Memory Energy Management PowerRelative Location & State Descriptions On Time 5uAPressure Changed -> Accelerometer ON 90% 500uAX Steps From Y Entity -> Zigbee ON 9% 15mAAround Entity X -> Recognition Processor ON.9% 80mALearned Event Detected -> GSM ON.1% SEND PREDICTION ERROR

24. Making Wireless eZ430-RF2480 Demonstration Kit USB or Battery Powered ZigBee Processor MSP430F2274 (backside)  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 $99 (US$)