Transcript Class-Directed Memory Management

Sensor Networks and Platforms
for Advancing Water Research
Prashant Shenoy
University of Massachusetts Amherst
UUNIVERSITY
NIVERSITYOF
OFM
MASSACHUSETTS
ASSACHUSETTS,,A
AMHERST
MHERST •• Department
Department of
ofComputer
ComputerScience
Science
Motivation
Water and environmental monitoring today
Often requires periodic field visits for data collection
Networking of sensor / instruments infeasible or expensive
No infrastructure in remote locations
Satellite networks expensive; cellular data networks unavailable
“BYON” : bring your own network challenging
Challenge: Design low-cost easily-deployable wireless sensor
networks for real-time data collection from the field
UNIVERSITY OF MASSACHUSETTS, AMHERST • Department of Computer Science
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Technology Trends
Low-cost wireless network technologies available
WiFi-based networks are the most common example
Mesh-based deployment at field site
Backhaul via point-to-point long-distance links
Directional antennas: Wifi links can stretch to 10s of kilometers!
Other wireless radios: Xtend, XE1205 also give long range
Energy-efficient sensor platforms available
Low-power microcontrollers, high-capacity flash storage
Battery-powered with lifetimes of weeks to months
Can be solar or wind-powered!
UNIVERSITY OF MASSACHUSETTS, AMHERST • Department of Computer Science
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Sensor Node
15 dBi antenna
(802.11b)
External
Antenna
(XE1205)
3 Watt Solar
Panel
WeatherProof
Enclosure
UNIVERSITY OF MASSACHUSETTS, AMHERST • Department of Computer Science
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(processing, sensing, storage)
Capability
Solar-powered Sensor Platforms
Brick Macro
sensor
Mote Micro
sensor node
Size/Power
UNIVERSITY OF MASSACHUSETTS, AMHERST • Department of Computer Science
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Sensors
Hydrophone
Camera
Argonaut
(Pressure, Flow, Temperature)
MicroLab - Nutrient sensor
UNIVERSITY OF MASSACHUSETTS, AMHERST • Department of Computer Science
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RiverNet: A River Sensor Network
Scalable sensor network that monitor water bodies (e.g. rivers)
and watersheds
Initial deployment: Fort River, Amherst
Ongoing: Harvard Forest stream guages
Planned: Blackstone & CT rivers
UNIVERSITY OF MASSACHUSETTS, AMHERST • Department of Computer Science
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Summary
It is possible to inexpensively network field sensors for water
monitoring.
Deployments in environments without infrastructure is possible
Easily deployable wireless sensor networks
Self-configuring: deploy and go
Use solar – wind power to enhance batter life of sensor nodes
Joint work with Deepak Ganesan, Umass CS
UNIVERSITY OF MASSACHUSETTS, AMHERST • Department of Computer Science
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