Harvard Sensor Networks Lab

The Harvard Sensor Networks Lab investigates software solutions for efficient, high-data-rate, adaptive wireless sensor networking systems. We also work closely with domain scientists in medicine, geophysics, and public health to direct our research towards real-world applications of this technology. On this site you can explore our various projects, publications, talks, and group members.

The HSNL is part of the Harvard School of Engineering and Applied Sciences.

Research Projects

• Pixie - An operating system supporting resource-aware programming for sensor networks

• Lance - Utility-driven signal collection in high-data-rate sensor networks

• RoboBees - An autonomous colony of robotic pollinators

• Macroprogramming - High-level programming for wireless sensors
  • Regiment, a spatial macroprogramming language
  • Flask, a dataflow-oriented intermediate language

• Sensor networks for medical applications:
  • Mercury - A wearable sensor platform for high-resolution motion analysis
  • CodeBlue - Sensor networks for physiological monitoring and disaster response

• Testbeds and tools for sensor network experimentation:
  • CitySense - An urban-scale WiFi sensor testbed
  • LiveNet - Using passive monitoring to reconstruct sensor network dynamics
  • MoteLab - Indoor, Web-enabled sensor network testbed

• Monitoring volcanic activity with wireless sensor networks
  • Deployment at Tungurahua volcano, Ecuador, August 2007
  • Deployment at Reventador volcano, Ecuador, August 2005
  • Deployment at Tungurahua volcano, Ecuador, July 2004

Previous projects:

• Hourglass and SBONs - Wide-area data collection and querying networks
• MoteTrack - RF signature-based indoor localization