Efficient decentralized data aggregation in wireless smart sensor networks

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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 the RDT, which is an output-only system identification approach, a decentralized hierarchical approach is described and shown to be suitable for implementation in the intrinsically distributed 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 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 publicationSensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2010
DOIs
StatePublished - Jun 18 2010
EventSensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2010 - San Diego, CA, United States
Duration: Mar 8 2010Mar 11 2010

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume7647
ISSN (Print)0277-786X

Other

OtherSensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2010
CountryUnited States
CitySan Diego, CA
Period3/8/103/11/10

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Keywords

  • Decentralized processing
  • Natural excitation technique
  • Output-only system identification
  • Random decrement technique
  • Wireless smart sensor

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

Sim, S. H., Carbonell-Márquez, J. F., & Spencer, B. F. (2010). Efficient decentralized data aggregation in wireless smart sensor networks. In Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2010 [764718] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 7647). https://doi.org/10.1117/12.848229