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| Overview |
Instead of using a single, highly-engineered sensor, sensor
networks monitor the world through hundreds of cheap,
assembly-line components. Many such devices have poor factory
calibration and drift over time during use. Because sensor
networks can contain thousands of such sensors and can be
influenced by the environment, they should be self-calibrated
after deployment. Unfortunately, pairing each sensor with an
actuator to provide a known stimulus does not solve this problem
because the actuators must also be calibrated. We developed a
technique in which, instead, each node calibrates its sensor
using the actuators of all of its neighbors. This creates an
over-constrained system from which calibration coefficients can
be inferred even in the face of some noise from both the sensors
and actuators. We demonstrated the calibration technique on a
36 node testbed with microphones and acoustic actuators.
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| Publications |
Kamin Whitehouse, David Culler. "Macro-calibration in Sensor/Actuator Networks." Mobile Networks and Applications Journal (MONET), Special Issue on Wireless Sensor Networks. June, 2003. ACM Press. Kamin Whitehouse, David Culler. "Calibration as Parameter Estimation in Sensor Networks." In Proceedings of ACM International Workshop on Wireless Sensor Networks and Applications (WSNA'02). Atlanta, Georgia, September 28, 2002. ACM Press. (ppt) |
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| Software | The code for this calibration technique is provided as Matlab script that takes readings collected from multiple sensor/actuator pairs and derives calibration coefficients for them. The scripts implement the uniform, pairwise, and joint calibration schemes described in the paper. | |||
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Kamin Whitehouse Computer Science Department The University of Virginia 217 Olsson Hall Charlottesville, Virginia 94720 |