A multi-hop low cost time synchronization algorithm for wireless sensor network in bridge health diagnosis system

Haitao Xiao*, Cheng Lu, Harutoshi Ogai

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

6 Citations (Scopus)

Abstract

Due to the oceanic climate and frequent earthquakes in Japan, bridge health diagnosis is a problem of greater complexity. In bridge diagnosis system, we develop a wireless sensor network to sample and gather the vibration data of bridge. Time synchronization is a crucial component for the wireless sensor network (WSN), because large populations of sensor nodes will collaborate in order to complete the measuring data at the same time, data gathering, data fusion and localization. In the wireless sensor network with large scale of energy limited nodes, multi-hop time synchronization is necessarily applied. To solve above mentioned problem, some protocols are proposed. However most of the algorithms mainly focus on the precision of synchronization. In fact energy efficiency is also a challenge in a resource-limited WSN. In this paper a novel time synchronization scheme is proposed with the purpose of reducing energy consumption and lengthening whole WSN' life. Performance analyses, simulations and realization in node hardware of WSN are also presented.

Original languageEnglish
Pages392-395
Number of pages4
DOIs
Publication statusPublished - 2012 Nov 19
Event18th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2012 - Seoul, Korea, Republic of
Duration: 2012 Aug 192012 Aug 22

Conference

Conference18th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2012
Country/TerritoryKorea, Republic of
CitySeoul
Period12/8/1912/8/22

Keywords

  • Acceleration Sensor
  • Bridge Health Monitoring
  • component
  • Multi-hop
  • Transmission Protocol
  • Wireless Sensor Network

ASJC Scopus subject areas

  • Artificial Intelligence
  • Hardware and Architecture
  • Computer Vision and Pattern Recognition

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