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Published byRoxanne Elliott Modified over 9 years ago
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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)
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Goals Autonomous sensor node (mote) in 1 mm3 MAV delivery
Thousands of motes Many interrogators Demonstrate useful/complex integration in 1 mm3
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COTS Dust GOALS: Create a network of sensors
Explore system design issues Provide a platform to test Dust components Use off the shelf components
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COTS Dust - RF Motes Atmel Microprocessor RF Monolithics transceiver
916MHz, ~20m range, 4800 bps 1 week fully active, 2 N S E W 2 Axis Magnetic Sensor 2 Axis Accelerometer Light Intensity Sensor Humidity Sensor Pressure Sensor Temperature Sensor
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COTS Dust - Network Simulation
Cheap platforms --> Lots of nodes --> Network challenges!
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COTS Dust - Optical Motes
CCR mote 4 corner cubes 40% hemisphere Laser mote 650nm laser pointer 2 day life full duty
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CCR Interogator
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Video Semaphore Decoding
Diverged 5.2 km In shadow in evening sun Diverged 300m Shadow or full sunlight
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1 Mbps CMOS imaging receiver
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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
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Turbulent Channel
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Micro Mote - First Attempt
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2D beam scanning laser lens CMOS ASIC Steering Mirror AR coated dome
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6-bit DAC Driving Scanning Mirror
Open loop control Insensitive to disturbance Potentially low power
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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
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Dust Delivery Floaters Autorotators Rockets MAVs solar cells
thermopiles MAVs MOTE
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MAV Delivery Built by MLB Co. 60 mph 18 min 1 mi comm
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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 ...
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