Embedded Networked Sensing CyberInfrastructure William Kaiser Deborah Estrin

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Embedded Networked SensingCyberInfrastructureWi
lliam KaiserDeborah Estrin
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Embedded CyberInfrastructure

• "Nothing tends so much to the advancement of
  knowledge as the application of a new
  instrument.
• Sir Humphry Davy, early exponent of the
  scientific method, scientist, inventor.

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Environmental Monitoring Applications

• Monitoring interactive phenomena
• Atmosphere, Water, Soil, and Biomass
• Characteristic spatiotemporal diversity
• Lengthy monitoring cycles

Contaminants And Pathogens
H2O
C
Light
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Embedded CyberInfrastructure Matches Pervasive
Monitoring Requirements

• Sensing Diversity
• Match heterogeneity of environment with diversity
  in sensing modes
• Sensing Uncertainty
• Accuracy in presence of unpredictable obstacles
  to sensing
• Sensing Fidelity
• Determine and provide adequate spatiotemporal
  sampling density
• General Problem
• Watershed monitoring
• Terrestrial ecosystems
• Marine systems
• Securing Civil Infrastructure
• Securing Indoor Environments

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Toward Multiscale Sensor Networks (CENS Tom
Harmon, UC Merced)

• Integrate
• Model objectives
• Global, regional, local, micro
• Visualization and exploration of massive,
  heterogeneous data streams
• Data storage and management in support of 2nd
  generation science questions

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Application Driven System EcologyHeterogeneous
systems and In-network processing

• Several classes of systems
• Mote herds (8 bit, low bw, TOS, low power) Scale
• Collaborative processing arrays (32 bit, 802.11,
  linux) Signal BW
• Networked Info-Mechanical Systems Autonomy
• Achieve longevity/autonomy, scalability,
  performance with heterogeneous systems and
  in-network processing, triggering and actuation
• Algorithm/Software challenges
• Characterizing sensing uncertainty
• Error resiliency, integrity
• Statistical and information-theoretic foundations
  for adaptive sampling, fusion
• Programming abstractions, Common services, tools

lifetime/autonomy
Mote Clusters
Infrastructure- based mobility(NIMS)
scale
Collaborative processing arrays (imaging,
acoustics)
sampling rate
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Networked Infomechanical Systems (NIMS)
Sustainable Mobile Sensing

• Networked mobile nodes
• Sensing
• Sampling
• Energy logistics
• Communication
• Infrastructure
• Deterministic and precise motion
• 3-D volume access
• Mass transport at low energy
• System Ecology for Sustainability
• Fixed nodes
• Mobile nodes
• Infrastructure

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Common system services
Localization Time Synchronization
Calibration
In Network Processing
Programming Model
Routing and Transport
Event Detection

• Needed Reusable, Modular, Flexible,
  Well-characterized Services/Tools
• Routing and Reliable transport
• Time synchronization, Localization, Calibration,
  Energy Harvesting
• In Network Storage, Processing (compression,
  triggering), Tasking
• Programming abstractions, tools
• Development, simulation, testing, debugging

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Emstar Development and Deployment Software

• Software system designed to support heterogeneous
  ENS applications
• 32-bit Linux, and 8-bit TOS, devices
• Robustness and Transparency
• Finely decomposed, modularized software
• Tool chest of modules neighbors, link
  estimation, timesync, routing, reliable state
  synchronization...
• Provide rich forms of inter-module communication
• Run-time environments for deep debugging
• Debug in a transparent context before the
  necessarily opaque deployment
• Same code runs in simulation, reality, and
  hybrids
• High visibility -- status is exposed in both
  human- and machine-readable form

Animal Call Localizer
collab_detect
gradients
data
MicroDiffusion
sensor/frog
detect
link/ls0/neighbors
neighbors
sensor/audio/fft
sync/hist
FFT
timehist
clients
emproxy
link/ls0
linkstats
sync/params
sensor/audio/0
syncd
audiod
status
802.11
link/udp0
emlog/
udpd
emrun
ADC
802.11 NIC
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Emstar Development and Deployment
Collaborative Sensor Processing Application
Domain Knowledge
Visualization
Multi- Lateration
State Sync
Reusable Software
Topology Discovery
Acoustic Ranging
Neighbor Discovery
Reliable Unicast
Leader Election
Time Sync
Radio
Sensors
Audio
Hardware
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Towards Embedded Cyber-infrastructure

• Embeddable Devices
• Energy-conserving platforms, radios
• Miniaturized, autonomous, sensors
• Standardized software interfaces

• Deployed systems in support of
• engineering and science applications
• Environmental, Civil, Bioengineering
• Bio and Geo Sciences

• NSF-Wide Collaboration
• CISE and Engineering systems, technology
• Other NSF Divisions apply and test systems
  (biological sciences, earth sciences)
• Other agencies and industry extend
  systems(DOE, EPA, DHS, DOD, )