26-11-2010, 12:40 PM
smart dust.ppt (Size: 1.75 MB / Downloads: 212)
Presented by:Mohammad Rahimi
Smart Dust
Back to future!
Colonies of smart ultra small size network
Interaction of advances in technology
VLSI more condense silicon processing
VLSI more silicon speed
VLSI low power short range communication
MEMS Micro-Electromechanical Systems
Networking : Ad hoc wireless Network
Distributed Processing : Operating system, Database
Applications
It is a special class of sensor network
Fine sensing granularity
Applications :
Forest fire warning
Enemy troop monitoring
Large scale Biology or Geology
Smart office spaces
Defense-related sensor networks
Inventory Control
Key Features of these electronic particles
Power
Survive for extended amount of time
What is really behind the race?Computer Science!
Data Fusion
An efficient semantic to diffuse data in the network
Interpretation of multimodal sensing
Come Back to Reality!COTS Dust
Commercial Off-The-Shelf Components Dust
To enable us the research about the algorithms and semantics
Power
Power: Lithium Battery
Big Problem
Low capacity per unit of mass and volume
Needs support by sleep mechanism and low power techniques
Not really so much innovation after Volta!
Solar
Vibration
Acoustic noise
Thermal conversion
Nuclear Reaction
Fuel Cells
Computation
Computation: ATMEL91M404000
Micro Controller
Core and variety of different functions
Flash , SRAM , E2PROM
GPIO , ADC , PWM ,Comparator
Embedded serial Buses
Ex: Microcontrollers Atmel , Microchip, Motorola Microprocessors Intel Strong-Arms ,Motorola
Sensors
Motion Sensing
Magnetometer
Study 3 Element of Earth Magnetic field (Compass)
Accelerometer
To measure Local vertical (tilt switch) or measure motion vectors
Environmental Sensing(Weather Monitoring)
Pressure
Barometer
Temperature
Light
Humidity
Communication
Acoustic
RF radio
Optical
Passive
Active
Acoustic Communication
Power Hungry
High Background Noise
Large Size (proportional to harmonics of sound)
Fast Attenuation Curve
Low communication baud rate
Low power receiver
Good for event driven wake up systems
RF Communication
New low power techniques
Not robust (No fancy Spread Spectrum)
ISM Band
For practical frequencies large ANT Size(~λ)
It may have a tail!!
Only one RF front end
MCU acts as base band controller
CRC,Encoding(Manchester),DC Balance,Header
Optical Communication
Active
High power laser source
Transmission of modulated laser beam
Passive
MEMS Corner Cube Reflector
Emit modulated ambient light
Extremely low power
Optical Vs. RF
Both mature technology
Both Electromagnetic waves
light is quiet short wavelength compared to RF
Potential of smaller sizes
light techniques are extremely directional
Peer-Peer
RF techniques can be more omni directional
Directionality Brings the problem of alignment
Future Work
Design of multi hop network
Autonomous network configuration
Data Fusion
Network Decision making
Large Scale Distributed Processing