A new low-power wireless sensor network for real-time bridge health diagnosis system

Haitao Xiao, Cheng Lu, Harutoshi Ogai

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

2 Citations (Scopus)

Abstract

With the development of wireless sensor networks (WSNs), it is applied in various fields, such as bridge health diagnosis. In previous bridge health diagnosis system, most of researches use general network models which cannot real-time acquire data or have high power consumption. In order to adapt the network characters, this paper presents a new type Low-power WSN, named LW, for real-time bridge health diagnosis system. Comparing with the WSN of previous bridge diagnosis systems, the contributions of this paper are two aspects. First, a low-power node module board to reduce the power consumption of hardware is designed. Next, an energy efficient and real-time data collection algorithm based on time table (TDMA) is designed to make WSN able to collect data efficiently. This paper also presents several simulations and experiments to show that our design choices are indeed quite effective.

Original languageEnglish
Title of host publication2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1565-1568
Number of pages4
Volume2017-November
ISBN (Electronic)9784907764579
DOIs
Publication statusPublished - 2017 Nov 10
Event56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017 - Kanazawa, Japan
Duration: 2017 Sep 192017 Sep 22

Other

Other56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017
CountryJapan
CityKanazawa
Period17/9/1917/9/22

Fingerprint

health
Wireless Sensor Networks
Wireless sensor networks
Health
Real-time
sensors
Power Consumption
Electric power utilization
Time division multiple access
Energy Efficient
time division multiple access
High Power
Network Model
Table
Hardware
Module
hardware
Vertex of a graph
modules
Experiment

Keywords

  • bridge diagnosis
  • real-time transmission protocol
  • system design
  • Wireless Sensor Networks

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Optimization
  • Control and Systems Engineering
  • Instrumentation

Cite this

Xiao, H., Lu, C., & Ogai, H. (2017). A new low-power wireless sensor network for real-time bridge health diagnosis system. In 2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017 (Vol. 2017-November, pp. 1565-1568). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/SICE.2017.8105609

A new low-power wireless sensor network for real-time bridge health diagnosis system. / Xiao, Haitao; Lu, Cheng; Ogai, Harutoshi.

2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017. Vol. 2017-November Institute of Electrical and Electronics Engineers Inc., 2017. p. 1565-1568.

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

Xiao, H, Lu, C & Ogai, H 2017, A new low-power wireless sensor network for real-time bridge health diagnosis system. in 2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017. vol. 2017-November, Institute of Electrical and Electronics Engineers Inc., pp. 1565-1568, 56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017, Kanazawa, Japan, 17/9/19. https://doi.org/10.23919/SICE.2017.8105609
Xiao H, Lu C, Ogai H. A new low-power wireless sensor network for real-time bridge health diagnosis system. In 2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017. Vol. 2017-November. Institute of Electrical and Electronics Engineers Inc. 2017. p. 1565-1568 https://doi.org/10.23919/SICE.2017.8105609
Xiao, Haitao ; Lu, Cheng ; Ogai, Harutoshi. / A new low-power wireless sensor network for real-time bridge health diagnosis system. 2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017. Vol. 2017-November Institute of Electrical and Electronics Engineers Inc., 2017. pp. 1565-1568
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