Distributed data processing within dense networks of wireless sensors using parallelized model updating techniques

Andrew T. Zimmerman, Jerome P. Lynch, Peter J. Shull, H. Felix Wu, Aaron A. Diaz, Dietmar W. Vogel
2008 Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security 2008  
As costs associated with wireless sensing technologies continue to decline, it has become feasible to deploy dense networks of tens, if not hundreds of wireless sensors within a single structural system. Additionally, many state-of-theart wireless sensing platforms now integrate low-power microprocessors and high-precision analog-to-digital converters in their designs. As a result, data processing tasks can be efficiently distributed across large networks of wireless sensors. In this study, a
more » ... rallelized model updating algorithm is designed for implementation within a network of wireless sensing prototypes. Using a novel parallel simulated annealing search method optimized for in-network execution, this algorithm efficiently assigns model parameters so as to minimize differences between an analytical model of the structure and wirelessly collected sensor data. Validation of this approach is provided by updating a lumped-mass shear structure model of a six-story steel building exposed to seismic base motion.
doi:10.1117/12.776470 fatcat:fn445musereejcutedknepxpua