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Lifetime measure of dense and sparse topology sensor network in structural health monitoring

Monitoring; Sensor nodes; Topology; Building structural; Computational results; Monitoring system; Network lifetime; Sensing region; Sensor network applications; Structural health; Topology construction; Structural health monitoring

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Main Authors: Haque M.E., Hannan M.A., Hossain M.F., Islam M.M., Abedin M.J.
Other Authors: 55568709400
Format: Article
Published: European Alliance for Innovation 2023
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spelling my.uniten.dspace-233472023-05-29T14:39:41Z Lifetime measure of dense and sparse topology sensor network in structural health monitoring Haque M.E. Hannan M.A. Hossain M.F. Islam M.M. Abedin M.J. 55568709400 7103014445 57203734794 56746912700 57412696900 Monitoring; Sensor nodes; Topology; Building structural; Computational results; Monitoring system; Network lifetime; Sensing region; Sensor network applications; Structural health; Topology construction; Structural health monitoring This paper addresses the coverage area and lifetime related issues arise in the building structural monitoring system. The monitoring system consists of a large number of sensor nodes for collecting structural health information. Out of many topologies, the sparse topology was extensively used in sensor network applications. The lifetime of the wireless sensor network is a fundamental issue because it determines the whole system aliveness. The objective of this article is to investigate the network lifetime and compare the computational results of different kinds of topology construction protocols to find optimum lifetime protocol for extending the monitoring system lifetime. The proposed dense network is capable of turnoff unnecessary node and provides the maximum sensing region, which prolong the network lifetime with minimum cost compare to sparse. In the proposed approach, each sensor node dynamically adjust transmission rage with keeping maximum connectivity and minimum consumption. The result shows that the dense topology would be a good choice for monitoring building structural health damage. � 2017. Telesphore Tiendrebeogo, licensed to EAI. Final 2023-05-29T06:39:41Z 2023-05-29T06:39:41Z 2017 Article 10.4108/eai.28-6-2017.152752 2-s2.0-85085040382 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85085040382&doi=10.4108%2feai.28-6-2017.152752&partnerID=40&md5=6afbcae100c3662c806408c5849f94f5 https://irepository.uniten.edu.my/handle/123456789/23347 4 13 1 14 All Open Access, Gold, Green European Alliance for Innovation Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Monitoring; Sensor nodes; Topology; Building structural; Computational results; Monitoring system; Network lifetime; Sensing region; Sensor network applications; Structural health; Topology construction; Structural health monitoring
author2 55568709400
author_facet 55568709400
Haque M.E.
Hannan M.A.
Hossain M.F.
Islam M.M.
Abedin M.J.
format Article
author Haque M.E.
Hannan M.A.
Hossain M.F.
Islam M.M.
Abedin M.J.
spellingShingle Haque M.E.
Hannan M.A.
Hossain M.F.
Islam M.M.
Abedin M.J.
Lifetime measure of dense and sparse topology sensor network in structural health monitoring
author_sort Haque M.E.
title Lifetime measure of dense and sparse topology sensor network in structural health monitoring
title_short Lifetime measure of dense and sparse topology sensor network in structural health monitoring
title_full Lifetime measure of dense and sparse topology sensor network in structural health monitoring
title_fullStr Lifetime measure of dense and sparse topology sensor network in structural health monitoring
title_full_unstemmed Lifetime measure of dense and sparse topology sensor network in structural health monitoring
title_sort lifetime measure of dense and sparse topology sensor network in structural health monitoring
publisher European Alliance for Innovation
publishDate 2023
_version_ 1806424222848778240
score 13.222552

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