2019
DOI: 10.1049/iet-wss.2018.5031
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Minimising number of sensors in wireless sensor networks for structure health monitoring systems

Abstract: Nowadays, wireless sensor networks (WSNs) are considered an essential candidate to apply structural health monitoring (SHM). An important problem in this area is sensor placement optimization. In many research works, solving this problem focuses only on the network properties and requirements such as energy consumption, network coverage, …etc., without considering the civil engineering requirements. However, there are other research works that consider network and civil requirements while optimizing the sensor… Show more

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Cited by 2 publications
(2 citation statements)
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“…However, the complexity of bridges introduces numerous monitoring parameters and structural degrees of freedom, rendering it impractical and unreasonable to deploy sensors for each one [71][72][73][74]. The aim of a sensor optimization layout is to achieve comprehensive structural information for bridges using the minimum number of sensors possible [75][76][77][78]. Consequently, scholars engage in detailed research on criteria for structural modal evaluation and network performance assessment.…”
Section: Wireless Sensor Placement Optimizationmentioning
confidence: 99%
“…However, the complexity of bridges introduces numerous monitoring parameters and structural degrees of freedom, rendering it impractical and unreasonable to deploy sensors for each one [71][72][73][74]. The aim of a sensor optimization layout is to achieve comprehensive structural information for bridges using the minimum number of sensors possible [75][76][77][78]. Consequently, scholars engage in detailed research on criteria for structural modal evaluation and network performance assessment.…”
Section: Wireless Sensor Placement Optimizationmentioning
confidence: 99%
“…These sensor nodes have limited battery, computational, and storage capacity, and often employs IPv6 over low‐power wireless personal area networks to send and receive data with low power over short distances using a 2.5 GHz frequency band [1]. WSNs have touched lives in many areas such as health‐care [2], biomedical, industrial, and household applications [3] because of their ease of deployment and low‐cost [4]. WSNs are used for internet of things, gas‐leakage and fire detection, monitoring, health‐care, and indoor localisation.…”
Section: Introductionmentioning
confidence: 99%