Wireless sensor placement optimization for bridge health monitoring: a critical review

Gang Chen, Weixiang Shi, Lei Yu, Jizhuo Huang, Jiangang Wei, Jun Wang

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)
7 Downloads (Pure)

Abstract

In recent years, wireless sensors have progressively supplanted conventional limited sensors owing to their attributes of small size, low cost, and high accuracy. Consequently, there has been a growing interest in leveraging wireless sensor networks for bridge structural health monitoring applications. By employing wireless sensor nodes to gather data from various segments of the bridge, information is relayed to a signal-receiving base station. Subsequently, the health status of the bridge is inferred through specific data processing and analysis, aiding monitoring personnel in making informed decisions. Nonetheless, there are limitations in this research, particularly pertaining to power consumption and efficiency issues in data acquisition and transmission, as well as in determining the appropriate wireless sensor types and deployment locations for different bridge configurations. This study aims to comprehensively examine research on the utilization of wireless sensor networks in the realm of bridge structural health monitoring. Employing a systematic evaluation methodology, more than one hundred relevant papers were assessed, leading to the identification of prevalent sensing techniques, data methodologies, and modal evaluation protocols in current use within the field. The findings indicate a heightened focus among contemporary scholars on challenges arising during the data acquisition and transmission processes, along with the development of optimal deployment strategies for wireless sensor networks. In continuing, the corresponding technical challenges are provided to address these concerns.
Original languageEnglish
Article number856
Number of pages29
JournalBuildings
Volume14
Issue number3
DOIs
Publication statusPublished - Mar 2024

Bibliographical note

Publisher Copyright:
© 2024 by the authors.

Keywords

  • bridge
  • data technology
  • optimal sensor placement
  • sensing technology
  • structural health monitoring
  • wireless sensor networks

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