Experimental investigation of aerial–ground network communication towards geospatially large-scale structural health monitoring

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5 Scopus citations

Abstract

Recognizing the importance of realizing integrated remote sensing and structural monitoring for civil structures at a geospatially large scale, this paper first proposes a concept design toward developing an aerial–ground wireless sensing network (AG-WSN) system for improving the efficiency of systems-level structural health monitoring. Upon this design, this paper further investigates the communication interference within such sensing network, which if not understood would diminish the practical value of such a system. This interference arises because of the UAV’s and the WSN’s communication protocols, for which most UAVs use 2.4 GHz radio for flight control and Wi-Fi (802.11 b/g/n) for imagery data streaming, and the WSNs often use the low-power ZigBee 802.15.4 protocol at 2.4 GHz as well. With the development of the proposed AG-WSN prototype using commercially available products, this paper experimentally achieves two important findings: (1) the key parameters that affect the short-range Wi-Fi and ZigBee interference and the experimental relations; and (2) the ‘comfort zone’ and the sensitive parameters for the long-range optimal ZigBee transmission between the aerial UAV and the ground sensors.

Original languageEnglish
Pages (from-to)823-832
Number of pages10
JournalJournal of Civil Structural Health Monitoring
Volume8
Issue number5
DOIs
StatePublished - Nov 1 2018
Externally publishedYes

Funding

Acknowledgements This material is partially based upon work supported by the National Science Foundation (NSF) under Award Number IIA-1355406 and work supported by the United States Department of Agriculture’s National Institute of Food and Agriculture (USDA-NIFA) under Award Number 2015-68007-23214. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of NSF or USDA-NIFA. This material is partially based upon work supported by the National Science Foundation (NSF) under Award Number IIA-1355406 and work supported by the United States Department of Agriculture’s National Institute of Food and Agriculture (USDA-NIFA) under Award Number 2015-68007-23214. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of NSF or USDA-NIFA. Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Keywords

  • Remote sensing
  • Structural health monitoring
  • Unmanned aerial vehicle
  • Wi-Fi
  • Wireless sensing network
  • ZigBee

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