Project Goals and Outline
sensor networks are an emerging computing domain that promises to deeply
impact the way computers and humans interact with our environment.
Applications range from long-term environmental and seismic monitoring,
vehicle tracking, health-care, and business supply-chain management.
Given the lifetime, cost, and form-factor requirements for wireless
sensor nodes, energy is usually the most important design constraint.
In this project, we seek to look beyond the capabilities of
general-purpose commodity microcontrollers in order to reduce energy
requirements by at least an order of magnitude. In this context, we
are developing architectures that are customized for the needs of
wireless sensor networks and building prototypes of these architectures.
This project is part of the larger
Hourglass effort at Harvard University.
Mark Hempstead, Gu-Yeon Wei, and David Brooks. “System Design
Considerations for Sensor Network Applications,” International
Symposium on Circuits and Systems (ISCAS), Seattle, WA, May 2008.
Mark Hempstead, Michael J. Lyons, David Brooks and Gu-Yeon Wei.
“Survey of Hardware Systems for Wireless Sensor Networks,” ASP
Journal of Low Power Electronics, Vol. 4., No. 1, April 2008.
Gu-Yeon Wei, and David Brooks. “Architecture and Circuit Techniques for
Low Throughput, Energy Constrained Systems Across Technology Generations,”
International Conference on Compilers, Architecture, and Synthesis for
Embedded Systems (CASES-06), Seoul, Korea, October 2006.
Mark Hempstead, Nikhil Tripathi, Patrick Mauro, Gu-Yeon Wei, and David Brooks,
"An Ultra Low Power System Architecture for Wireless Sensor Network Applications," 32nd International
Symposium on Computer Architecture (ISCA-05), June 2005.
Mark Hempstead, David Brooks, and Matt Welsh, "TinyBench: The Case For A
Standardized Benchmark Suite for TinyOS Based Wireless Sensor Network Devices,"
First IEEE Workshop on Embedded Networked Sensors(EmNets'04), Tampa FL November
Funding and Other Support
This research is supported in part by the National Science
Foundation under Grant No. 0330244. Any opinions, findings, and conclusions or
recommendations expressed in this material are those of the author(s)
and do not necessarily reflect the views of the National Science
Foundation or any other sponsor.