K. Pister, J. Kahn, B. Boser (UCB) S. Morris (MLB) DARPA MTO MEMS SMART DUST K. Pister, J. Kahn, B. Boser (UCB) S. Morris (MLB)
Goals Autonomous sensor node (mote) in 1 mm3 MAV delivery Thousands of motes Many interrogators Demonstrate useful/complex integration in 1 mm3
COTS Dust GOALS: Create a network of sensors Explore system design issues Provide a platform to test Dust components Use off the shelf components
COTS Dust - RF Motes Atmel Microprocessor RF Monolithics transceiver 916MHz, ~20m range, 4800 bps 1 week fully active, 2 yr @1% N S E W 2 Axis Magnetic Sensor 2 Axis Accelerometer Light Intensity Sensor Humidity Sensor Pressure Sensor Temperature Sensor
COTS Dust - Network Simulation Cheap platforms --> Lots of nodes --> Network challenges!
COTS Dust - Optical Motes CCR mote 4 corner cubes 40% hemisphere Laser mote 650nm laser pointer 2 day life full duty
CCR Interogator
Video Semaphore Decoding Diverged beam @ 5.2 km In shadow in evening sun Diverged beam @ 300m Shadow or full sunlight
1 Mbps CMOS imaging receiver
Optical Communication (vs. RF) Pro: low power small aperture spatial division multiplexing high data rates LPI/LPD baseband coding Con: line of sight atmospheric turbulence
Turbulent Channel
Micro Mote - First Attempt
2D beam scanning laser lens CMOS ASIC Steering Mirror AR coated dome
6-bit DAC Driving Scanning Mirror Open loop control Insensitive to disturbance Potentially low power
Power and Energy Sources Storage Usage Solar cells Thermopiles Batteries ~1 J/mm3 Capacitors ~1 mJ/mm3 Usage Digital control: nW Analog circuitry: nJ/sample Communication: nJ/bit
Dust Delivery Floaters Autorotators Rockets MAVs solar cells thermopiles MAVs MOTE
MAV Delivery Built by MLB Co. 60 mph 18 min 1 mi comm
Applications DoD Civilian Battlefield sensor networks Sensor mine-fields, burrs and fleas Traffic mapping Captured terrain surveillance Bunker mapping ... Civilian High speed/low power IRDA Interactive virtual ballet ...