Distributed decision-making in wireless sensor networks for online structural health monitoring
Document Type
Article
Publication Date
1-1-2009
Abstract
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.
Publication Title
Journal of Communications and Networks
Recommended Citation
Ling, Q.,
Tian, Z.,
&
Li, Y.
(2009).
Distributed decision-making in wireless sensor networks for online structural health monitoring.
Journal of Communications and Networks,
11(4), 350-358.
http://doi.org/10.1109/JCN.2009.6391348
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/10701