Smart Structures and Systems

  • 제14권1호
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  • Pages.39-54
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  • 2014
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  • 1738-1584(pISSN)
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  • 1738-1991(eISSN)
테크노프레스 (Techno-Press)
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DOI QR코드

DOI QR Code

Layout optimization of wireless sensor networks for structural health monitoring

  • Jalsan, Khash-Erdene (Structural Engineering Research Laboratory, Empa, Swiss Federal Laboratories for Materials Science and Technology) ;
  • Soman, Rohan N. (Department of Civil Engineering and Geomatics, Cyprus University of Technology) ;
  • Flouri, Kallirroi (Structural Engineering Research Laboratory, Empa, Swiss Federal Laboratories for Materials Science and Technology) ;
  • Kyriakides, Marios A. (Department of Civil Engineering and Geomatics, Cyprus University of Technology) ;
  • Feltrin, Glauco (Structural Engineering Research Laboratory, Empa, Swiss Federal Laboratories for Materials Science and Technology) ;
  • Onoufriou, Toula (Department of Civil Engineering and Geomatics, Cyprus University of Technology)
  • 투고 : 2014.03.10
  • 심사 : 2014.06.30
  • 발행 : 2014.07.25
⟨ 이전 논문 다음 논문 ⟩

초록

Node layout optimization of structural wireless systems 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 antagonistic objectives is 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 a heterogeneous WSN is quantified from the placement quality indicators of strain and acceleration sensors. The network lifetime or equivalently the network energy consumption is estimated through WSN simulation that provides realistic results by capturing the dynamics of the wireless 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 accelerometers is obtained as 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 a discrete-event simulator with stochastic communication models. Finally, we compare the optimization results with those obtained in a previous work where the network energy consumption is obtained via deterministic communication models.

키워드

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피인용 문헌

  1. Energy-Efficient Heterogeneous Wireless Sensor Deployment with Multiple Objectives for Structural Health Monitoring vol.16, pp.12, 2016, https://doi.org/10.3390/s16111865
  2. Cluster-based optimal wireless sensor deployment for structural health monitoring 2017, https://doi.org/10.1177/1475921717689967
  3. Numerical evaluation of multi-metric data fusion based structural health monitoring of long span bridge structures 2018, https://doi.org/10.1080/15732479.2017.1350984
  4. Decentralized System Identification Using Stochastic Subspace Identification for Wireless Sensor Networks vol.15, pp.12, 2015, https://doi.org/10.3390/s150408131
  5. Routing Topologies of Wireless Sensor Networks for Health Monitoring of a Cultural Heritage Site vol.16, pp.12, 2016, https://doi.org/10.3390/s16101732
  6. Optimization of sensor placement for structural health monitoring: a review pp.1741-3168, 2019, https://doi.org/10.1177/1475921719825601
  7. Sudden Event Monitoring of Civil Infrastructure Using Demand-Based Wireless Smart Sensors vol.18, pp.12, 2014, https://doi.org/10.3390/s18124480