sensor networks and platforms for advancing water research

8
UNIVERSITY OF NIVERSITY OF MASSACHUSETTS ASSACHUSETTS, A , AMHERST MHERST Department of Computer Science Department of Computer Science UNIVERSITY OF NIVERSITY OF MASSACHUSETTS ASSACHUSETTS, A , AMHERST MHERST Department of Computer Science Department of Computer Science Sensor Networks and Platforms for Advancing Water Research Prashant Shenoy University of Massachusetts Amherst

Upload: salali

Post on 22-Jan-2016

29 views

Category:

Documents


0 download

DESCRIPTION

Sensor Networks and Platforms for Advancing Water Research. Prashant Shenoy University of Massachusetts Amherst. Motivation. Water and environmental monitoring today Often requires periodic field visits for data collection Networking of sensor / instruments infeasible or expensive - PowerPoint PPT Presentation

TRANSCRIPT

Page 1: Sensor Networks and Platforms for Advancing Water Research

UUNIVERSITY OF NIVERSITY OF MMASSACHUSETTSASSACHUSETTS, A, AMHERST • MHERST • Department of Computer Science Department of Computer ScienceUUNIVERSITY OF NIVERSITY OF MMASSACHUSETTSASSACHUSETTS, A, AMHERST • MHERST • Department of Computer Science Department of Computer Science

Sensor Networks and Platforms for Advancing Water Research

Prashant ShenoyUniversity of Massachusetts

Amherst

Page 2: Sensor Networks and Platforms for Advancing Water Research

UNIVERSITY OF MASSACHUSETTS, AMHERST • Department of Computer Science

Motivation

Water and environmental monitoring todayOften requires periodic field visits for data collectionNetworking of sensor / instruments infeasible or expensiveNo 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

2

Page 3: Sensor Networks and Platforms for Advancing Water Research

UNIVERSITY OF MASSACHUSETTS, AMHERST • Department of Computer Science

Technology Trends

Low-cost wireless network technologies availableWiFi-based networks are the most common exampleMesh-based deployment at field siteBackhaul 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 availableLow-power microcontrollers, high-capacity flash storageBattery-powered with lifetimes of weeks to monthsCan be solar or wind-powered!

3

Page 4: Sensor Networks and Platforms for Advancing Water Research

UNIVERSITY OF MASSACHUSETTS, AMHERST • Department of Computer Science 4

3 Watt Solar Panel

15 dBi antenna(802.11b)

External Antenna(XE1205)

Weather-Proof

Enclosure

Sensor Node

Page 5: Sensor Networks and Platforms for Advancing Water Research

UNIVERSITY OF MASSACHUSETTS, AMHERST • Department of Computer Science 5

Solar-powered Sensor Platforms

Size/Power

Cap

ab

ility

(p

roce

ssin

g,

sensi

ng

, st

ora

ge)

Mote Micro sensor node

Brick Macro sensor

Page 6: Sensor Networks and Platforms for Advancing Water Research

UNIVERSITY OF MASSACHUSETTS, AMHERST • Department of Computer Science 6

Hydrophone

Camera

Argonaut(Pressure, Flow, Temperature)

Sensors

MicroLab - Nutrient sensor

Page 7: Sensor Networks and Platforms for Advancing Water Research

UNIVERSITY OF MASSACHUSETTS, AMHERST • Department of Computer Science 7

RiverNet: A River Sensor NetworkScalable sensor network that monitor water bodies (e.g. rivers) and watersheds

Initial deployment: Fort River, AmherstOngoing: Harvard Forest stream guagesPlanned: Blackstone & CT rivers

Page 8: Sensor Networks and Platforms for Advancing Water Research

UNIVERSITY OF MASSACHUSETTS, AMHERST • Department of Computer Science

Summary

It is possible to inexpensively network field sensors for water monitoring.

Deployments in environments without infrastructure is possible

Easily deployable wireless sensor networksSelf-configuring: deploy and go

Use solar – wind power to enhance batter life of sensor nodes

Joint work with Deepak Ganesan, Umass CS

8