Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/14210
Title: Layout optimization of wireless sensor networks for structuralhealth monitoring
Authors: Jalsan, Khash Erdene 
Soman, Rohan N. 
Flouri, Kallirroi 
Kyriakides, Marios 
Feltrin, Glauco 
Onoufriou, Toula 
Major Field of Science: Engineering and Technology
Field Category: Civil Engineering
Keywords: Discrete-event simulation;Energy estimation;Multi-objective layout optimization;SHM;WSN
Issue Date: 1-Jan-2014
Source: Smart Structures and Systems, 2014, vol. 14, no.1, pp. 39-54
Volume: 14
Issue: 1
Start page: 39
End page: 54
Journal: Smart Structures and Systems 
Abstract: Node layout optimization of structural wirelesssystems is investigated as a means to prolong the network lifetime without, if possible, compromising information quality of the measurement data. The trade-off between these antagonisticobjectivesis studied within a multi-objective layout optimization framework.A Genetic Algorithm is adopted to obtain a set of Pareto-optimal solutions from which the end user can select the final layout. The information quality of the measurement data collected from aheterogeneous WSNis quantified fromthe placement qualityindicators of strain and acceleration sensors. The network lifetime or equivalently the network energy consumption is estimated throughWSNsimulation that provides realistic results bycapturing the dynamics of thwireless communication protocols. A layout optimization study of a monitoring system on the Great Belt Bridge is conducted to evaluate the proposed approach.The placement quality of strain gauges and accelerometersis obtainedas a ratio of the Modal Clarity Index and Mode Shape Expansion values that are computed from a Finite Element model of the monitored bridge. To estimate the energy consumption of the WSN platform in a realistic scenario, we use adiscrete-event simulator with stochastic communication models. Finally, we compare the optimizationresults with those obtained in a previous work where the network energy consumption is obtained viadeterministic communication models. Copyright © 2014 Techno-Press, Ltd.
ISSN: 17381584
DOI: 10.12989/sss.2014.14.1.039
Rights: © Techno Press
Type: Article
Affiliation : Swiss Federal Laboratories for Materials Science and Technology 
Cyprus University of Technology 
Publication Type: Peer Reviewed
Appears in Collections:Άρθρα/Articles

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