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Distributed decision-making in wireless sensor networks for online structural health monitoring

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3 Author(s)
Ling, Qing ; Department of Electrical and Computer Engineering, Michigan Technological University, Houghton, Michigan, 49931 ; Tian, Zhi ; Li, Yue

In a wireless sensor network (WSN) setting, this paper presents a distributed decision-making framework and illustrates its application in an online structural health monitoring (SHM) system. The objective is to recover a damage severity vector, which identifies, localizes, and quantifies damages in a structure, via distributive and collaborative decision-making among wireless sensors. Observing the fact that damages are generally scarce in a structure, this paper develops a nonlinear 0-norm minimization formulation to recover the sparse damage severity vector, then relaxes it to a linear and distributively tractable one. An optimal algorithm based on the alternating direction method of multipliers (ADMM) and a heuristic distributed linear programming (DLP) algorithm are proposed to estimate the damage severity vector distributively. By limiting sensors to exchange information among neighboring sensors, the distributed decision-making algorithms reduce communication costs, thus alleviate the channel interference and prolong the network lifetime. Simulation results in monitoring a steel frame structure prove the effectiveness of the proposed algorithms.

Published in:

Communications and Networks, Journal of  (Volume:11 ,  Issue: 4 )

Date of Publication:

Aug. 2009

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