OCDMA-based sensor network for monitoring construction sites affected by vibrations

Farzad Pour Rahimian, Saleh Seyedzadeh, Ivan Glesk

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Abstract

Due to the progressive demand for more accurate structural health monitoring of large-scale facilities, e.g. modern high-speed railways and bridges, there is a huge uptake in the development of optical sensor networks (OSN), which can help mitigate the issues with conventional electric sensors, especially their sensitivity to electromagnetic interferences and larger sizes. The existing fibre optic infrastructures are not widely used by OSNs, due to the lack of appropriate multiplexing techniques. Aiming at addressing the implementation issues of optical sensors in urban areas, this study proposes an efficient and cost-effective system for supporting the vibration sensing of unequally distributed points. The pro- posed system takes the advantages of spectral amplitude encoding optical code division multiple access (SAC-OCDMA) technique, in providing differentiated services in the physical layer with varying code weights. This system utilises more wavelengths (i.e. higher power) to the farthest sensing points in order to retrieved vibration signals, properly. The mechanism of SAC for OSN is elaborated using simulation results including the impact of transmission distance and the procedure of allocating codes to different zones. These results indicate the suitability of the proposed system to be implemented in existing fibre optic infrastructures. Moreover, the numerical analysis shows a high capacity of the sensor network deploying SAC. The proposed system addresses the implementation issues in optically sensing of structures distributed in urban areas.
Original languageEnglish
Pages (from-to)299-317
Number of pages19
JournalJournal of Information Technology in Construction
Volume24
Publication statusPublished - 13 Jun 2019

Keywords

  • structural health monitoring
  • vibration sensing
  • optical sensing
  • optical code division multiple access
  • unequally distributed sensor nodes

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