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Designing low-cost wireless sensor networks for real-time data collection from remote water research sites can revolutionize environmental monitoring. Learn about scalable sensor platforms and solar-powered sensor nodes enhancing field data collection.
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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 • 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
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!
Sensor Node 15 dBi antenna(802.11b) External Antenna(XE1205) 3 Watt Solar Panel Weather-ProofEnclosure
Solar-powered Sensor Platforms Brick Macro sensor Capability (processing, sensing, storage) Mote Micro sensor node Size/Power
Sensors Hydrophone Camera Argonaut(Pressure, Flow, Temperature) MicroLab - Nutrient sensor
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
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