Title: Center for Embedded Networked Sensing:
1Center for Embedded Networked Sensing
Technology and Discovery on Land, Rivers, and
Oceans Prof. Deborah Estrin and Prof. William
Kaiser Represents collaborative work with many
CENS faculty, students, staff http//cens.ucla.edu
2embedded in the physical environment (soil,
canopy, rivers, groundwater, coastal)
networked to share information and adapt
function (data, system status, control)
sensing measurement instruments (sensors,
transducers)
an internet of sensors
3Environmental Monitoring Applications exhibit
Spatial variations and heterogeneity
Precision agriculture, water quality management
Impact of fragmentation on species diversity
Algal growth as part of eutrophication
Earth structure inhomogeneities
4Evolution of Wireless Sensing Platforms and
Research
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Srivastava, et al
5- New themes will drive next 5-10 years of wireless
sensing systems - Mobile, Multi-scale, Multi-modal
- Integrity, sensing, participatory and
interactive - Publishing and sharing sensor data
- New integrated-sensor development will take time
and investment..Therefore, leverage existing
sensors in creative ways (imagers, acoustics, ) - Participatory sensing public health, social,
personal - Technology development model
- Early-to-application to leverage deployments
and resulting data provides feedback to system
innovation, from theory to algorithm
6Multiple observation scales perspective
7Coupled Human-Observational Systems
- Whereas we focused initially on very long lived,
autonomous systems design, interactive and rapid
deployments are high value. - Interactive systems take advantage of human
observer, actuator - Addresses critical issues such as adaptive
sampling, topology adjustment and faulty sensor
detection - Requires real time data access, model based
analysis, and visualization in the field
Daily Average Temperature (Geostatistical
Analyst) Aspect (Spatial Analyst) Slope (Spatial
Analyst) Elevation (Calculated from Contour
Map) Aerial Photograph (10.16cm/pixels)
transform physical observations from batch to
interactive process
Hansen, Hamilton, Graham, et al
8CIHead-quarters
Increasing attention to End to End
Cyberinfrastructure
Sensorbase.org
National Ecological Observatory Network (NEON)
9Leverage context to apply server-side, and
ultimately, on-board processing to infer
interesting behavior (sensor output)
Imagers as biological sensors Heartbeat of a
Nestbox
The blue lines are the output of automatic image
processing algorithms applied to cyclops images
over 5 minute intervals Green is temperature.
Ahmadian, Ko, Rahimi
10Handheld Sensing
- From data entry to imagers to connected sensors
(bluetooth, usb) - Automatic geocoding
- Automatic upload
- Real-time sanity-checking of data on handheld or
on server end - Access to maps, models, reference images or data
11Participatory Sensing From Eco-Systems to Human
Systems
- Enabled by
- Over 2x109 users worldwide of cell phones.
- Automated geo-coding and pervasive connectivity
- Image and acoustic as data and metadata
- Local processing for data quality and triggering
- Spatial interface to data and authoring
- Applications
- Self-administered health diagnostics
- Public health/epidemiology Water and Air
- Civic concerns (transportation, safety)
- Eco-PDA
Burke, Estrin, Hansen, Parker, Reddy, Srivastava,
et al
12Science application drivers
- Early embedded sensing applications
- Biological and Earth Sciences
- Environmental, Civil, Bio Engineering
- Public health, Medical research
- Agriculture, Resource management
- Science is our early adopter for networked
sensing because the technology is transformative
and research tolerates risk - The maturing technology will also transform the
business enterprise - Important historical precedents
- Weather modeling--early computing
- Scientific collaboration--Internet
- Experimental physics (CERN)--WWW
- Computational science--Grid computing
- Embeddable device developments
- Energy-conserving platforms, radios
- Actuated/Mobile platforms
- Standardized software interfaces
- Signal/image processing techniques