Wireless sensor network-based infrastructure damage detection constrained by energy consumption

William Contreras, Sotirios Ziavras

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

6 Scopus citations

Abstract

Structural health monitoring, which is the process of assessing the health of instrumented structures, is becoming increasingly important as much of the world's infrastructure ages and deteriorates. Wireless sensor networks (WSNs) have the potential to deliver continuous, highly accurate structural health monitoring at a low cost. In this paper, we present a novel WSN system that monitors ambient vibrations at various locations on a structure and looks for deviations from the structure's baseline response to determine if any sections are potentially experiencing damage. In contrast to earlier methods, our system does not require engineering knowledge of the structure on which it is deployed. We also introduce a theoretical framework to attain the system's desired lifetime, which is demonstrated experimentally by determining the amount of energy that our algorithm consumes when running on Zolertia Z1 sensor nodes. Finally, in this context, we introduce a novel circuit that reduces current flow for inactive nodes by 99.97% compared to their minimum sleep current, thus extending their lifetime.

Original languageEnglish (US)
Title of host publication2016 IEEE 7th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2016
EditorsHimadri Nath Saha, Satyajit Chakrabarti
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509014965
DOIs
StatePublished - Dec 7 2016
Event7th IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2016 - New York City, United States
Duration: Oct 20 2016Oct 22 2016

Publication series

Name2016 IEEE 7th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2016

Other

Other7th IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2016
Country/TerritoryUnited States
CityNew York City
Period10/20/1610/22/16

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Electrical and Electronic Engineering

Keywords

  • Distributed processing
  • Statistical analysis
  • Vibration measurement
  • Wireless sensor networks

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