Decentralized Random Decrement Technique for Data Aggregation and System Identification in Wireless Smart Sensor Networks

Sung Han Sim, B. F. Spencer, Hongki Jo, Juan Francisco Carbonell-Márquez

Research output: Chapter in Book/Report/Conference proceedingChapter


Smart sensors have been recognized as a promising technology with the potential to overcome many of the inherent difficulties and limitations associated with traditional wired structural health monitoring (SHM) systems. The unique features offered by smart sensors, including wireless communication, on-board computation, and cost effectiveness, enable deployment of the dense array of sensors that are needed for monitoring of large-scale civil infrastructure. Despite the many advances in smart sensor technologies, power consumption is still considered as one of the most important challenges that should be addressed for the smart sensors to be more widely adopted in SHM applications. Data communication, the most significant source of the power consumption, can be reduced by appropriately selecting data processing schemes and the related network topology. This paper presents a new decentralized data aggregation approach for system identification based on the Random Decrement Technique (RDT). Following a brief overview of RDT, which is an output-only system identification approach, a hierarchical approach is described and shown to be suitable for implementation in the intrinsically decentralized computing environment found in wireless smart sensor networks (WSSNs). RDT-based decentralized data aggregation is then implemented on the Imote2 smart sensor platform based on the Illinois Structural Health Monitoring Project (ISHMP) Services Toolsuite. Finally, the efficacy of the decentralized RDT method is demonstrated experimentally in terms of the required data communication and the accuracy of identified dynamic properties.

Original languageEnglish (US)
Title of host publicationIUTAM Bookseries
PublisherSpringer Science and Business Media B.V.
Number of pages10
StatePublished - 2011

Publication series

NameIUTAM Bookseries
ISSN (Print)1875-3507
ISSN (Electronic)1875-3493


  • Natural Excitation Technique
  • Random Decrement Technique
  • decentralized processing
  • output-only system identification
  • wireless smart sensor

ASJC Scopus subject areas

  • Mechanical Engineering
  • Aerospace Engineering
  • Automotive Engineering
  • Acoustics and Ultrasonics
  • Civil and Structural Engineering


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