RF Backscatter-Based Sensors for Structural Health Monitoring

Milutin Stanacevic, Abeer Ahmad, Xiao Sha, Akshay Athalye, Samir Das, Kelly Caylor, Branko Glisic, Petar M. Djuric

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

Abstract

There is a growing need for accurate and reliable assessment of conditions of a variety of engineering structures and for monitoring of their performance. Miniaturized, passive, backscatter-based RF sensors with embedded computational capabilities could enable advanced structural health monitoring at high fidelity and at large-scale. Specifically, these RF-powered devices, pervasively embedded and dispersed within the structural material, can sense parameters of interest throughout large volumes of instrumented structure, perform modest local computations to infer structural conditions, and communicate via backscatter modulation while consuming near-zero power. We demonstrate that the backscatter channel phase sensing enables quantification of a size of air gap between two RF sensors embedded in sand. Additionally, we demonstrate the sensitivity of the phase to the strain of the sand.

Original languageEnglish (US)
Title of host publication2021 International Balkan Conference on Communications and Networking, BalkanCom 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages71-74
Number of pages4
ISBN (Electronic)9781665402583
DOIs
StatePublished - Sep 20 2021
Event4th International Balkan Conference on Communications and Networking, BalkanCom 2021 - Novi Sad, Serbia
Duration: Sep 20 2021Sep 22 2021

Publication series

Name2021 International Balkan Conference on Communications and Networking, BalkanCom 2021

Conference

Conference4th International Balkan Conference on Communications and Networking, BalkanCom 2021
Country/TerritorySerbia
CityNovi Sad
Period9/20/219/22/21

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Hardware and Architecture
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality

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