A wireless smart sensor network based on multi-function interferometric radar sensors for structural health monitoring

Changzhan Gu, Jennifer A. Rice, Changzhi Li

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

15 Scopus citations

Abstract

Structural health monitoring calls for sensors that are low-cost, low-profile, and power-constraint. It also requires the sensors to form a network to accurately monitor the low-frequency response that often occurs in many civil structures such as long-span bridges. However, the existing sensors are either not practical for wireless implementation, does not have enough accuracy, or are not cost-effective. This paper presents a multi-function interferometric radar sensor that can easily form a smart sensor network by the merit of the ZigBee mesh networking function integrated in the sensor. The radar sensor, integrated with a micro-controller, works in the arctangent-demodulated interferometric mode to monitor the structure's displacement with an accuracy of sub-millimeter. Experimental results show that the smart sensor network using the multi-function radar sensors serves as a good alternative for monitoring structural health.

Original languageEnglish
Title of host publicationRWW 2012 - Proceedings of the 2012 IEEE Topical Conference on Wireless Sensors and Sensor Networks, WiSNet 2012
Pages33-36
Number of pages4
DOIs
StatePublished - 2012
Event2012 6th IEEE Radio and Wireless Week, RWW 2012 - 2012 IEEE Topical Conference on Wireless Sensors and Sensor Networks, WiSNet 2012 - Santa Clara, CA, United States
Duration: Jan 15 2012Jan 18 2012

Publication series

NameRWW 2012 - Proceedings of the 2012 IEEE Topical Conference on Wireless Sensors and Sensor Networks, WiSNet 2012

Conference

Conference2012 6th IEEE Radio and Wireless Week, RWW 2012 - 2012 IEEE Topical Conference on Wireless Sensors and Sensor Networks, WiSNet 2012
CountryUnited States
CitySanta Clara, CA
Period01/15/1201/18/12

Keywords

  • Doppler radar
  • Structural health monitoring
  • displacement measurement
  • wireless sensor network

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