Center for Emerging Networked Trustable Systems

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Center for Emerging Networked Trustable Systems

• Eric BrewerDavid Culler, David Wagner

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Introduction

• New (smaller) research group
• Should outlast projects
• Intentionally broad for now but focus on
  strengths
• Real systems and deployments
• Multidisciplinary projects
• Robust systems security, availability, fault
  tolerance, environment,
• Show leadership

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A Little History

• Three streams
• Internet and Distributed Systems
• Sensors Networks (NEST)
• Security
• Common philosophy
• Aim for impact deployments, real-world
  constraints, whole solutions as needed
• Build things search engine, motes, protocols
• Enable others motes, nesC, analysis tools

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NEST Highlights

• Four generations of motes
• Enabled experiments worldwide
• Novel OS TinyOS
• Novel language nesC
• Novel networking at almost all layers
• Novel services
• Localization, neighborhoods, TinyDB
• Many companies and an emerging ecosystem

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Key Capabilities

• Hardware
• Compiler and Static Analysis Tools
• Complex distributed systems
• Multidisciplinary partners as needed
• Deployments

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Capability Hardware
WeC 99 Smart Rock
Mica 1/02
Small microcontroller - 8 kb code, - 512
B data Simple radio - 10 kb EEPROM (32
KB) Simple sensors
NEST open exp. platform 128 KB code, 4 KB data 50
KB radio 512 KB Flash comm accelerators
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Next Mote Platform

• Focused on low power
• Sleep - Majority of the time
• Telos 2.4mA
• MicaZ 30mA
• Wakeup
• As quickly as possible
• Telos 290ns typical, 6ms max
• MicaZ 60ms max internal oscillator, 4ms external
• Process
• Get your work done and get back to sleep
• Telos 4MHz 16-bit
• MicaZ 8MHz 8-bit
• TI MSP430
• Ultra low power, 1.8V
• 1.6mA sleep
• 460mA active

• Standards Based
• IEEE 802.15.4, USB
• IEEE 802.15.4
• CC2420 radio
• 250 kbps
• 2.4GHz ISM band
• TinyOS support
• New suite of radio stacks
• Pushing hardware abstraction
• Must conform to std link
• Ease of development and Test
• Program over USB
• Std connector header
• Interoperability
• Telos / MicaZ/ChipCon
• 97 Yield on first 200
• Remaining reparable

UCB Telos
Xbow MicaZ
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Capability Static Analysis

• nesC
• de facto standard language for sensor networks
• Prevents race conditions via static analysis
• Enables component-based systems in C
• Security
• Buffer overruns
• Model checking
• Macroscope evolution of C

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CapabilityDistributed Systems

• TinyOS network stack
• Flexible MAC (BMAC)
• Routing, flexible power scheduling
• Distributed services
• Localization
• Trickle/drip/deluge viral network upgrades
• Neighborhoods, management
• Frameworks
• TOSSIM/TinyViz/Tython simulation infrastructure
• TinyDB sensor-network query system
• Mate application-specific virtual machines

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Capability Deployments

• Great Duck Island
• Petrel monitoring over two years with CS and bio
  results
• Environment Redwoods
• Monitoring the Golden Gate Bridge
• Tier Wireless links in India

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Great Duck Island
gt 1000 ft
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Occupancy VerificationValidate Burrow Readings
with Infrared Cameras
Parent and chick
CLICK IMAGE
IR web camera kits
Chick with parent
CLICK IMAGE
CLICK IMAGE
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NFS ERC Adaptive Network Infrastructure

• Goals
• Deploy secure, distributed networked embedded
  systems
• Apply to societal-scale infrastructure systems
• Create new curriculum for designing these
  systems
• The ERC will focus on resource management
  problems, particularly
• electric power,
• transportation systems and
• water management.

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Adaptive Networked InfrastructureCore partners
Berkeley (lead), Cornell, VanderbiltPrincipal
investigator Edward A. Lee (EECS)

• Approach Engineering methods for integrating
  computer-controlled, networked sensors and
  actuators in societal-scale infrastructure
  systems.

• Enabling technologies wireless networked
  embedded systems with sensors and actuators

• Resource management test beds
• electric power
• transportation
• water

The ANI ERC

• Target efficient, robust, scalable adaptive
  networked infrastructure.

• Deliverables Engineering Methods, Models, and
  Toolkits for
• design and analysis of systems with embedded
  computing
• computation integrated with the physical world
• analysis of control dynamics with software and
  network behavior
• programming the ensemble, not the computer
• computer-integrated systems oriented engineering
  curricula

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CENTS Applications

• Tier ICT in Developing Regions
• E-Voting
• Emergency Response (smoke)
• Environmental monitoring (redwoods)
• ANI societal-scale infrastructure

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Summary

• CENTS is what we make of it
• One goal of the retreat figure this out!
• Things we know we want it to be
• Design of robust systems
• Real-world impactful applications
• Deep technology that enables new approaches
• Deployments to verify and learn

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Agenda

• Wednesday
• Opening talks
• Industry session
• Thursday
• Sensor net applications, services
• Compilers and static analysis
• Poster session, 5-minute position talks
• Friday
• Infrastructure storage and RFID
• Open mic, visitor feedback