Blindly calibrating mobile sensors using piecewise linear functions

Authors:
Chao Wang;Parameswaran Ramanathan;Kewal K. Saluja
Affiliations:
Department of Electrical and Computer Engineering, University of Wisconsin, Madison, WI;Department of Electrical and Computer Engineering, University of Wisconsin, Madison, WI;Department of Electrical and Computer Engineering, University of Wisconsin, Madison, WI
Venue:
SECON'09 Proceedings of the 6th Annual IEEE communications society conference on Sensor, Mesh and Ad Hoc Communications and Networks
Year:
2009

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Abstract

Calibrating nonlinear mobile sensors in-field is a challenging task due to the unavailability of controlled signal field and pre-calibrated sensor devices. In this paper, we propose a Density Guided blind Calibration (DGC) scheme for nonlinear mobile sensors by approximating the nonlinear calibration functions using piecewise linear functions. The DGC scheme exploits the fact that sensors moving in the same region collect similar fraction of true values in any given interval over time. The proposed scheme tackles the nonlinear calibration problem through an optimization formulation which is very easy to solve. The effectiveness of the proposed scheme is verified through simulations and an experiment with MICA2 light sensors.