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About Sensors
The wireless sensor networks research group at UMass conducts research on a variety of systems, networking and data management issues in data-centric sensor networks. Our focus is on building scalable, energy-efficient sensor networks through the use of heterogeneous sensor modalities, sensor platforms and processors. Our projects are diverse and span core systems building blocks, data and network management tools and services, mathematical principles, and application of sensor networks to scientific, industrial and health-care disciplines.
Deepak Ganesan
Prashant Shenoy
Mark Corner

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STONES: Storage-centric Networked Embedded Systems
  • PRESTO: a predictive storage architecture for sensor networks.
  • Capsule: a flash-optimized object storage system for small sensor platforms.
  • ESSense: Measurement study and hardware design of NAND flash storage subsystem for sensor nodes.

Camera Sensor Networks
  • SenSearch: A distributed image search engine to efficiently search across images stored on distributed camera sensors, imagers, and cellphones.
  • SensEye: Evaluates the benefits of a multi-tier camera sensor network design over single tier solutions.

Networking Research
  • Hop: Fast wireless transport for mesh networks and DTNs. Uses a combination of techniques to reduce overhead and collisions. Achieves order of magnitude improvement over TCP/UDP.
  • MUDS: Design of a progressive data transmission scheme to optimize utility across multiple diverse users (meteorologist, researcher, emergency manager) in a high data-rate radar sensor network.

Applications and Deployments
  • RiverNet: A solar-powered sensor network comprising underwater cameras, hydrophones and temperature sensors for monitoring and modeling of rivers.
  • TurtleNet: DTN, energy management, and programming language challenges in tracking small, mobile wildlife.
  • Assisted Living: Using low-power cameras for fall detection and object finding to assist the elderly.

Staged sensor platforms
  • HPM: Hierarchical power management techniques for sensor platforms with multiple heterogeneous processors.
  • Dual-cam: Use of a heterogeneous dual camera sensor platform for efficient object finding.


Fall 2006: CS691AA: Wireless Sensor Networks
Also taught in 2005, 2004.

Spring 2005: CS791T - Mathematical Techniques in Sensor Data Processing

Fall 2003: CS791L - Sensor Networks