Intelligent Energy Management for Body Sensor Networks WTBU Emerging Markets & Innovation Leo...
-
Upload
jasper-benson -
Category
Documents
-
view
220 -
download
0
Transcript of Intelligent Energy Management for Body Sensor Networks WTBU Emerging Markets & Innovation Leo...
Intelligent Energy Management for Body Sensor Networks
WTBU Emerging Markets & Innovation
Leo Estevez, Ph.D.
Making Wireless
Natural & Synthetic Body Networks
• Self Preservation– Invisible (Battery)– Predictive (Memory)
• Energy Systems– Ambient– Kinetic– Potential
• Energy Management– Sensory– Memory
Ambient Energy Systems
Making Wireless
Natural Ambient Energy Systems
Making Wireless
Solar Ambient Energy
• Solar (1000W/m2)– GaAs
• 247mW/cm2 (IMEC)
– PV-TV• 3.8W/ft2
Picture Courtesy of UTD
Making Wireless
Thermal Ambient Energy• Head
– 30 uW/cm2
• Wrist– 100uW
Research/Pictures from IMEC
Making Wireless
RF Ambient Energy• GSM-900 (2W)
• @1m 2mW
• HF RFID (200mW)• @1cm 16mW
0.8in (20mm)
0.8in (20mm)
Mini-Reader Module
Kinetic Energy Systems
Making Wireless
Natural Kinetic Energy Systems
Making Wireless
Translational Kinetic Energy
• Shoe– 20mW
• Vibration– uWs
Picture Courtesy of UTD Lab
Making Wireless
Rotational Kinetic Energy
• Watch– uWs
• Shoe– 3.2W
Picture/Research from NYU
Potential Energy Systems
Making Wireless
Natural Potential Energy Systems
Making Wireless
Voltage Potential Energy• Standby
– MSP430 - 800 nA
• Active– MSP 430 - 65uW/MHz– ARM Cortex - 450uW/MHz
Making Wireless
RF Potential Energy
• Selectivity• Collision Avoidance
Sensory Energy Management
Making Wireless
Natural Sensory Energy Management
Making Wireless
Location Sensors
• A-GPS– Seconds
• Zigbee– Milliseconds
Enabler IIA-GPS31 x 46 x 3.1 mm
Making Wireless
Activity Sensors
• Accelerometers– 500uA
• Altimeters– 5uA
-1.5
-1
-0.5
0
0.5
1
1.5
2
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
Memory Energy Management
Making Wireless
Natural Memory Energy Management
Fast/Working Slow/Learning
Making Wireless
Working Memory Energy Management
FRAM EEPROM Flash
Nonvolatile Principle Ferroelectricity Charge Storage Charge Storage
Read Cycle 85 -110nsec 200nsec 90nsec
Internal Program Voltage
5V/3.3V 18V 12V
Write Cycle 85-110nsec 5msec 1sec
• Fast/Working– Low Power/Capacity
• Slow/Learning – High Power/Capacity
Making Wireless
Learning Memory Energy Management
Power Relative Location & State Descriptions
OnTime
5uA Pressure Changed ->Accelerometer ON
90%
500uA X Steps From Y Entity ->
Zigbee ON
9%
15mA Around Entity X ->
Recognition Processor ON
.9%
80mA Learned Event Detected ->
GSM ON
.1%
SEND PREDICTION ERROR
Making Wireless
eZ430-RF2480 Demonstration Kit
USB or Battery PoweredZigBee 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 $99 (US$)