Wireless Sensor Nets Turning the Physical World into Information David Culler Electrical Engineering and Computer Sciences University of California, Berkeley http://www.cs.berkeley.edu/~culler Systems Wireless EmBedded.
Download ReportTranscript Wireless Sensor Nets Turning the Physical World into Information David Culler Electrical Engineering and Computer Sciences University of California, Berkeley http://www.cs.berkeley.edu/~culler Systems Wireless EmBedded.
Wireless Sensor Nets Turning the Physical World into Information David Culler Electrical Engineering and Computer Sciences University of California, Berkeley http://www.cs.berkeley.edu/~culler Systems Wireless EmBedded log (people per computer) Systems Bell’s Law – new computer class per 10 years Wireless EmBedded Number Crunching Data Storage productivity interactive • Enabled by technological opportunities streaming information to/from physical world • Smaller, more numerous andyear more intimately connected • Ushers in a new kind of application • Ultimately used in many ways not previously imagined 1/28/2004 Sensor Net Day 2 Technology Push Systems Wireless EmBedded Itanium2 (241M ) nearly a thousand 8086’s would fit in a modern microprocessor Actuation Sensing Communication Processing & Storage I SDQ SD PLL baseband filters mixer LNA 1/28/2004 Sensor Net Day 3 Application Pull Systems Wireless EmBedded • Env. Monitoring, Conservation biology, ... – Precision agriculture, land conservation, ... – built environment comfort & efficiency ... – alarms, security, surveillance, treaty verification ... CENS.ucla.edu • Civil Engineering: structures response – condition-based maintenance – disaster management – urban terrain mapping & monitoring • Interactive Environments – context aware computing, non-verbal communication – handicap assistance » home/elder care » asset tracking • Integrated robotics 1/28/2004 Sensor Net Day 4 The Systems Challenge Systems Wireless EmBedded Monitoring & Managing Spaces and Things applications data mgmt service network system architecture Comm. MEMS sensing Store Proc uRobots actuate technology Miniature, 1/28/2004 low-power connections Sensor Net Dayto the physical world Power 5 Wireless Systems Open Experimental Platform to Catalyze a Community EmBedded Services Networking TinyOS WeC 99 “Smart Rock” www.tinyos.net Rene 11/00 Dot 9/01 Mica 1/02 Small microcontroller - 8 kb code, - 512 B data Simple, low-power radio - 10 kb Designed for experimentation -sensor boards Demonstrate scale NEST open exp. platform 128 KB code, 4 KB data 50 KB radio EEPROM (32 KB) -power boards Simple sensors 1/28/2004 DARPA SENSIT, - Intel comm accelerators Sensor Net Day Expeditions Crossbow - DARPA NEST 512 KB Flash 6 • • – 10x10 array of robust wireless, self-localizing sensors over 400 m2 area – Low cost, robust ‘mote’ device: magnetometer, microcontroller, radio network, ultrasonic transceiver – Evader: human controlled Rover – Pursuer: autonomous rover with mote, embedded PC, GPS evader pursuer • reflector acoustic ultrasound main mag sense power mag ultrasound dot 1/28/2004 battery Problem: detect vehicle entering sensitive area, track using magnetics, pursue and capture by UGV. Components Operation – Nodes inter-range (Ultrasonic) and self localize from few anchors, correct for earth mag, go into low-power ‘sentry’ state – Detect entry and track evader » Local mag signal processing determines event and announces to neighbors » Neighborhood aggregates and estimates position » Network routes estimate from leader to tracker (multihop) – Pursuer enters and navigates to intercede » Motes detect and estimate multiple events » Route to mobile Pursuer node » Disambiguates events to form map » Closed inner-loop navigation control » Closed information-driven pursuit control Capture when within one meter Sensor Net» Day 7 Systems NEST Pursuer/Evader Mid Term Demo Wireless EmBedded Systems Making it happen Wireless EmBedded Tackle the new computer systems challenges due resource constraints, scale, & embedment Fundamentally simpler, more robust software structures Demonstrate applications that show how it can change the way we do science and what we can shoot for. Ecophysiology, conservation biology Demonstrate applications that show how it can change the way we do engineering Structural response, condition based maintanance Deep collaboration between academia, industry, and government from the beginning 1/28/2004 Sensor Net Day 8