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

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dc.citedby5
dc.contributor.authorHaque M.E.en_US
dc.contributor.authorHannan M.A.en_US
dc.contributor.authorHossain M.F.en_US
dc.contributor.authorIslam M.M.en_US
dc.contributor.authorAbedin M.J.en_US
dc.contributor.authorid55568709400en_US
dc.contributor.authorid7103014445en_US
dc.contributor.authorid57203734794en_US
dc.contributor.authorid56746912700en_US
dc.contributor.authorid57412696900en_US
dc.date.accessioned2023-05-29T06:39:41Z
dc.date.available2023-05-29T06:39:41Z
dc.date.issued2017
dc.descriptionMonitoring; Sensor nodes; Topology; Building structural; Computational results; Monitoring system; Network lifetime; Sensing region; Sensor network applications; Structural health; Topology construction; Structural health monitoringen_US
dc.description.abstractThis 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.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.4108/eai.28-6-2017.152752
dc.identifier.epage14
dc.identifier.issue13
dc.identifier.scopus2-s2.0-85085040382
dc.identifier.spage1
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85085040382&doi=10.4108%2feai.28-6-2017.152752&partnerID=40&md5=6afbcae100c3662c806408c5849f94f5
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23347
dc.identifier.volume4
dc.publisherEuropean Alliance for Innovationen_US
dc.relation.ispartofAll Open Access, Gold, Green
dc.sourceScopus
dc.sourcetitleEAI Endorsed Transactions on Scalable Information Systems
dc.titleLifetime measure of dense and sparse topology sensor network in structural health monitoringen_US
dc.typeArticleen_US
dspace.entity.typePublication
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