A multi-scale strategy in wireless sensor networks for structural health monitoring

Xuefeng Liu, Jiannong Cao, You Lin Xu, Hejun Wu, Yang Liu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

10 Citations (Scopus)

Abstract

Wireless sensor network (WSN) has been considered to be the next generation paradigm of structural health monitoring (SHM) systems due to its low cost, high scalability and flexibility. However, some inherent limitations of WSN such as low-bandwidth wireless communication, limited resources on wireless sensor nodes, must be addressed to meet the generally high requirements of SHM. Distributed in-network processing has been widely accepted as a solution to this problem. However, the drawbacks of existing distributed algorithms, such as the low sensitivity, the dependency on accurate structural model, the incapability of handling various environmental conditions, et al., greatly constrained their practical applications. In this paper, we propose a multi-scale strategy in WSNs for SHM applications. The approach, called the ACF-CCF, utilizes the autocorrelation function of individual sensor node to detect the existence of damage and the cross-correlation function of designated node pairs to obtain damage location. Through simulation and laboratory test, the effectiveness of the proposed approach is demonstrated. Compared with existing distributed SHM algorithms, the method is energy efficient, model free and is robust to various environmental conditions.
Original languageEnglish
Title of host publicationISSNIP 2009 - Proceedings of 2009 5th International Conference on Intelligent Sensors, Sensor Networks and Information Processing
Pages361-366
Number of pages6
DOIs
Publication statusPublished - 1 Dec 2009
Event2009 5th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2009 - Melbourne, Australia
Duration: 7 Dec 200910 Dec 2009

Conference

Conference2009 5th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2009
CountryAustralia
CityMelbourne
Period7/12/0910/12/09

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems
  • Software

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