Infrastructural health monitoring using self-powered Internet-of-Things

Kenji Aono, Nizar Lajnef, Fred Faridazar, Shantanu Chakrabartty

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

33 Scopus citations


By incorporating sensing capabilities in passive radio-frequency identification (RFID) tagging technology it is possible to extend the coverage of Internet-of-Things (IoT) to monitor the health of different segments of a large civil infrastructure like pavement highway, buildings or a multi-span bridge. The challenge in this regard is to deliver energy to the RFID sensors that are embedded inside the structures in a manner that they can continuously sense for occurrence of any rare structural events. This paper summarizes some of the progress that has been made to-date in the area of self-powered R FID sensor networks within the concept of IoT. The core sensor uses a self-powering method which directly harvests computational and storage energy from slight strain-variations in the structure. The event signatures can then be stored on a non-volatile memory and remotely retrieved at a later period of time. In this sense now retrieve later paradigm, self-powering is only used for continuous sensing and data-logging of essential statistics; whereas, data retrieval and reconfiguration is achieved using a low-cost commercial RFID system. Another advantage of using a commercial RFID system for data retrieval is that the related standards and FCC compliance are well established and the technology can be easily integrated with other IoT network infrastructure.

Original languageEnglish
Title of host publicationISCAS 2016 - IEEE International Symposium on Circuits and Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages4
ISBN (Electronic)9781479953400
StatePublished - Jul 29 2016
Event2016 IEEE International Symposium on Circuits and Systems, ISCAS 2016 - Montreal, Canada
Duration: May 22 2016May 25 2016

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
ISSN (Print)0271-4310


Conference2016 IEEE International Symposium on Circuits and Systems, ISCAS 2016


  • Fatigue prediction
  • Internet-of-Things
  • NFC
  • RFID
  • infrastructural health monitoring
  • piezo-floating gate sensor
  • self-powered sensor


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