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Fault tolerant WSN-based structural health monitoring

  • X. Liu*
  • , J. Cao
  • , Md Bhuiyan
  • , S. Lai
  • , H. Wu
  • , G. Wang
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Fault tolerance in wireless sensor networks (WSNs) has been studied extensively by computer science researchers and they proposed many fault-tolerant schemes for various applications including target and event detection. However, these schemes would fail in a particular application of WSNs: structural health monitoring (SHM). Different from other applications of WSNs, detecting structural damage requires significant amount of civil domain knowledge and utilizes different detection model. Meanwhile, researchers in civil engineering also proposed some fault-tolerant SHM algorithms. However, these algorithms are all centralized and not applicable to resource-limited wireless sensor networks. To our best knowledge, we are the first to address fault tolerance problem in WSN-based SHM. We target faulty sensor reading, one of the most difficult types of sensor fault to be detected, and propose a fault-tolerant SHM approach. The proposed approach is lightweight and it is able to disambiguate structural damage from sensor faults. The effectiveness of the proposed approach is demonstrated through both simulation and real implementation.

Original languageEnglish
Title of host publication2011 IEEE/IFIP 41st International Conference on Dependable Systems and Networks, DSN 2011
Pages37-48
Number of pages12
DOIs
StatePublished - 2011
Externally publishedYes
Event2011 IEEE/IFIP 41st International Conference on Dependable Systems and Networks, DSN 2011 - Hong Kong, Hong Kong SAR
Duration: 27 Jun 201130 Jun 2011

Publication series

NameProceedings of the International Conference on Dependable Systems and Networks

Conference

Conference2011 IEEE/IFIP 41st International Conference on Dependable Systems and Networks, DSN 2011
Country/TerritoryHong Kong SAR
CityHong Kong
Period27/06/1130/06/11

Keywords

  • clustering
  • fault tolerance
  • structural health monitoring
  • wireless sensor networks

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