Building structural health monitoring using dense and sparse topology wireless sensor network

Mohammad E. Haque, Muhammad Fauzi Mohd. Zain, Hannan M A, Mohammad H. Rahman

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Wireless sensor technology hasbeen opened up numerous opportunitiesto advanced healthand maintenance monitoring of civil infrastructure. Compare to the traditional tactics, it offers a better way of providing relevant information regarding the condition of building structure health at a lower price. Numerous domestic buildings, especially longer-span buildings have a low frequency response and challenging to measure using deployed numbers of sensors. The waythe sensor nodes areconnected playsan important role in providing the signals with required strengths. Out of many topologies, the dense and sparse topologies wireless sensor networkwereextensively used in sensor network applications for collecting health information. However, it is still unclear which topology is better for obtaining health information in terms of greatest components, node's size and degree. Theoretical and computational issues arising in the selection of the optimum topology sensor network for estimating coverage area with sensor placement in building structural monitoring are addressed. This work is an attempt to fill this gap in high-rise building structural health monitoring application. The result shows that, the sparse topology sensor network provides better performance compared with the dense topology network and would be a good choice for monitoring high-rise building structural health damage.

Original languageEnglish
Pages (from-to)607-621
Number of pages15
JournalSmart Structures and Systems
Volume16
Issue number4
DOIs
Publication statusPublished - 1 Oct 2015

Fingerprint

Structural health monitoring
Wireless sensor networks
Topology
Health
Sensor networks
Sensors
Monitoring
Sensor nodes
Frequency response

Keywords

  • Building structural health monitoring
  • Dense network
  • Optimum topology sensor network
  • Sparse network
  • Wirelesssensor network

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Computer Science Applications

Cite this

Building structural health monitoring using dense and sparse topology wireless sensor network. / Haque, Mohammad E.; Mohd. Zain, Muhammad Fauzi; M A, Hannan; Rahman, Mohammad H.

In: Smart Structures and Systems, Vol. 16, No. 4, 01.10.2015, p. 607-621.

Research output: Contribution to journalArticle

Haque, Mohammad E. ; Mohd. Zain, Muhammad Fauzi ; M A, Hannan ; Rahman, Mohammad H. / Building structural health monitoring using dense and sparse topology wireless sensor network. In: Smart Structures and Systems. 2015 ; Vol. 16, No. 4. pp. 607-621.
@article{786e5de957294a3299199333f59e261f,
title = "Building structural health monitoring using dense and sparse topology wireless sensor network",
abstract = "Wireless sensor technology hasbeen opened up numerous opportunitiesto advanced healthand maintenance monitoring of civil infrastructure. Compare to the traditional tactics, it offers a better way of providing relevant information regarding the condition of building structure health at a lower price. Numerous domestic buildings, especially longer-span buildings have a low frequency response and challenging to measure using deployed numbers of sensors. The waythe sensor nodes areconnected playsan important role in providing the signals with required strengths. Out of many topologies, the dense and sparse topologies wireless sensor networkwereextensively used in sensor network applications for collecting health information. However, it is still unclear which topology is better for obtaining health information in terms of greatest components, node's size and degree. Theoretical and computational issues arising in the selection of the optimum topology sensor network for estimating coverage area with sensor placement in building structural monitoring are addressed. This work is an attempt to fill this gap in high-rise building structural health monitoring application. The result shows that, the sparse topology sensor network provides better performance compared with the dense topology network and would be a good choice for monitoring high-rise building structural health damage.",
keywords = "Building structural health monitoring, Dense network, Optimum topology sensor network, Sparse network, Wirelesssensor network",
author = "Haque, {Mohammad E.} and {Mohd. Zain}, {Muhammad Fauzi} and {M A}, Hannan and Rahman, {Mohammad H.}",
year = "2015",
month = "10",
day = "1",
doi = "10.12989/sss.2015.16.4.607",
language = "English",
volume = "16",
pages = "607--621",
journal = "Smart Structures and Systems",
issn = "1738-1584",
publisher = "Techno Press",
number = "4",

}

TY - JOUR

T1 - Building structural health monitoring using dense and sparse topology wireless sensor network

AU - Haque, Mohammad E.

AU - Mohd. Zain, Muhammad Fauzi

AU - M A, Hannan

AU - Rahman, Mohammad H.

PY - 2015/10/1

Y1 - 2015/10/1

N2 - Wireless sensor technology hasbeen opened up numerous opportunitiesto advanced healthand maintenance monitoring of civil infrastructure. Compare to the traditional tactics, it offers a better way of providing relevant information regarding the condition of building structure health at a lower price. Numerous domestic buildings, especially longer-span buildings have a low frequency response and challenging to measure using deployed numbers of sensors. The waythe sensor nodes areconnected playsan important role in providing the signals with required strengths. Out of many topologies, the dense and sparse topologies wireless sensor networkwereextensively used in sensor network applications for collecting health information. However, it is still unclear which topology is better for obtaining health information in terms of greatest components, node's size and degree. Theoretical and computational issues arising in the selection of the optimum topology sensor network for estimating coverage area with sensor placement in building structural monitoring are addressed. This work is an attempt to fill this gap in high-rise building structural health monitoring application. The result shows that, the sparse topology sensor network provides better performance compared with the dense topology network and would be a good choice for monitoring high-rise building structural health damage.

AB - Wireless sensor technology hasbeen opened up numerous opportunitiesto advanced healthand maintenance monitoring of civil infrastructure. Compare to the traditional tactics, it offers a better way of providing relevant information regarding the condition of building structure health at a lower price. Numerous domestic buildings, especially longer-span buildings have a low frequency response and challenging to measure using deployed numbers of sensors. The waythe sensor nodes areconnected playsan important role in providing the signals with required strengths. Out of many topologies, the dense and sparse topologies wireless sensor networkwereextensively used in sensor network applications for collecting health information. However, it is still unclear which topology is better for obtaining health information in terms of greatest components, node's size and degree. Theoretical and computational issues arising in the selection of the optimum topology sensor network for estimating coverage area with sensor placement in building structural monitoring are addressed. This work is an attempt to fill this gap in high-rise building structural health monitoring application. The result shows that, the sparse topology sensor network provides better performance compared with the dense topology network and would be a good choice for monitoring high-rise building structural health damage.

KW - Building structural health monitoring

KW - Dense network

KW - Optimum topology sensor network

KW - Sparse network

KW - Wirelesssensor network

UR - http://www.scopus.com/inward/record.url?scp=84946052962&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84946052962&partnerID=8YFLogxK

U2 - 10.12989/sss.2015.16.4.607

DO - 10.12989/sss.2015.16.4.607

M3 - Article

AN - SCOPUS:84946052962

VL - 16

SP - 607

EP - 621

JO - Smart Structures and Systems

JF - Smart Structures and Systems

SN - 1738-1584

IS - 4

ER -