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Proceedings Paper

Sensor calibration based on external stimulus actuation
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Paper Abstract

We have developed an on-line sensor calibration scheme that employes a additional single source as the external stimulus that creats differential sensor readings used for calibration. The key idea of our approach is to use an actuator to produce differential simultaneous excitement of all sensors over a number of time frames while the environment the sensors are deployed in is relatively inactive. The sensor calibration functions are derived in such a way that all sensors (or a group of sensors) agree on the effect of the actuator in the most consistent way. More specifically, we utilizes the maximal likelihood principle and a nonlinear system optimization solver to derive the calibration functions of arbitrary complexity and accuracy. The approach has the following noble properties: i) it is maximally localized in that each sensor only needs to communicate with one other sensor in order to be calibrated; ii) the number of time steps that are required for calibration is very low. Therefore, the approach is both communication and time efficitent. We present two variants of the approach: i) one where only two neighboring sensors have to communicate in order to conduct calibration; ii) one that utilizes an integer linear programming (ILP) formulation to provably minimize the required number of packets that must be sent for calibration. We evaluate the techniques using traces from light sensors recorded by in-field deployed sensors, and statistical evaluations are conducted in order to obtain the interval of confidence to support all the results.

Paper Details

Date Published: 19 May 2005
PDF: 11 pages
Proc. SPIE 5757, Smart Structures and Materials 2005: Modeling, Signal Processing, and Control, (19 May 2005); doi: 10.1117/12.600593
Show Author Affiliations
Jessica Feng, Univ. of California/Los Angeles (United States)
Miodrag Potkonjak, Univ. of California/Los Angeles (United States)

Published in SPIE Proceedings Vol. 5757:
Smart Structures and Materials 2005: Modeling, Signal Processing, and Control
Ralph C. Smith, Editor(s)

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