Developing an energy-efficient and low-delay wake-up wireless sensor network-based structural health monitoring system using on-site earthquake early warning system and wake-on radio

Hung, Shih Lin; Ding, Jiun Ting; Lu, Yung Chi

doi:10.1007/s13349-018-0315-2

Cited by 12 publications

(8 citation statements)

References 23 publications

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“…Hung et al [ 70 ] also developed an Earthquake EW system based on SHM, but with a focus on energy efficiency, which remains a key constraint in Earthquake EW, too. A sentry node was integrated into the gateway unit of a WSN that used the IEEE 802.15.4 standard.…”

Section: Earthquakesmentioning

confidence: 99%

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Recent Advances in Internet of Things Solutions for Early Warning Systems: A Review

Esposito

Palma

Belli

et al. 2022

Sensors

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Natural disasters cause enormous damage and losses every year, both economic and in terms of human lives. It is essential to develop systems to predict disasters and to generate and disseminate timely warnings. Recently, technologies such as the Internet of Things solutions have been integrated into alert systems to provide an effective method to gather environmental data and produce alerts. This work reviews the literature regarding Internet of Things solutions in the field of Early Warning for different natural disasters: floods, earthquakes, tsunamis, and landslides. The aim of the paper is to describe the adopted IoT architectures, define the constraints and the requirements of an Early Warning system, and systematically determine which are the most used solutions in the four use cases examined. This review also highlights the main gaps in literature and provides suggestions to satisfy the requirements for each use case based on the articles and solutions reviewed, particularly stressing the advantages of integrating a Fog/Edge layer in the developed IoT architectures.

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Section: Earthquakesmentioning

confidence: 99%

“…Employing smart sleep procedures in-between transmissions, keeping short wake-up and transmission windows [ 50 , 70 ], or dynamically switching to sleep mode based on the event probability of occurrence in the area [ 26 ].…”

Section: Figurementioning

confidence: 99%

Recent Advances in Internet of Things Solutions for Early Warning Systems: A Review

Esposito

Palma

Belli

et al. 2022

Sensors

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show abstract

“…To date, IEEE 802.15.4 as a low-cost and low-power wireless standard has been specifically designed for battery-powered devices in wireless monitoring applications. It has been widely adopted as the standard for physical and/or data link layers for other communication technologies, such as ZigBee and ISA100.11a [95][96][97]. ZigBee has been widely used in the wireless sensor network for SHM [98][99][100].…”

Section: Data Communication Technologiesmentioning

confidence: 99%

Sensor Networks for Structures Health Monitoring: Placement, Implementations, and Challenges—A Review

Mustapha

et al. 2021

Vibration

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The development of structural health monitoring (SHM) systems and their integration in actual structures has become a necessity as it can provide a robust and low-cost solution for monitoring the structural integrity of and the ability to predict the remaining life of structures. In this review, we aim at focusing on one of the important issues of SHM, the design, and implementation of sensor networks. Location and number of sensors, in any SHM system, are of high importance as they impact the system integration, system performance, and accuracy of assessment, as well as the total cost. Hence we are interested in shedding the light on the sensor networks as an essential component of SHM systems. The review discusses several important parameters including design and optimization of sensor networks, development of academic and commercial solutions, powering of sensors, data communication, data transmission, and analytics. Finally, we presented some successful case studies including the challenges and limitations associated with the sensor networks.

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“…In the earthquake domain, Dutta et al [ 37 ] proposed a model for quick WSN deployment by considering gradual changes to environmental characteristics to determine the seismic event magnitude and distance to seismic sources. Hung et al [ 38 ] developed an on-site earthquake early warning system using energy-aware WSN to reduce power consumption. Mohapatra et al [ 39 ] proposed the network of ocean-bottom seismometer sensors for real-time monitoring using combined routing and node replacement approaches to reduce energy consumption and minimize the costs of replacement the sensors.…”

Section: Literature Reviewmentioning

confidence: 99%

Performance Analysis of IoT-Based Health and Environment WSN Deployment

Shakeri

Sadeghi‐Niaraki

Choi

et al. 2020

Sensors

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With the development of Internet of Things (IoT) applications, applying the potential and benefits of IoT technology in the health and environment services is increasing to improve the service quality using sensors and devices. This paper aims to apply GIS-based optimization algorithms for optimizing IoT-based network deployment through the use of wireless sensor networks (WSNs) and smart connected sensors for environmental and health applications. First, the WSN deployment research studies in health and environment applications are reviewed including fire monitoring, precise agriculture, telemonitoring, smart home, and hospital. Second, the WSN deployment process is modeled to optimize two conflict objectives, coverage and lifetime, by applying Minimum Spanning Tree (MST) routing protocol with minimum total network lengths. Third, the performance of the Bees Algorithm (BA) and Particle Swarm Optimization (PSO) algorithms are compared for the evaluation of GIS-based WSN deployment in health and environment applications. The algorithms were compared using convergence rate, constancy repeatability, and modeling complexity criteria. The results showed that the PSO algorithm converged to higher values of objective functions gradually while BA found better fitness values and was faster in the first iterations. The levels of stability and repeatability were high with 0.0150 of standard deviation for PSO and 0.0375 for BA. The PSO also had lower complexity than BA. Therefore, the PSO algorithm obtained better performance for IoT-based sensor network deployment.

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Developing an energy-efficient and low-delay wake-up wireless sensor network-based structural health monitoring system using on-site earthquake early warning system and wake-on radio

Cited by 12 publications

References 23 publications

Recent Advances in Internet of Things Solutions for Early Warning Systems: A Review

Recent Advances in Internet of Things Solutions for Early Warning Systems: A Review

Sensor Networks for Structures Health Monitoring: Placement, Implementations, and Challenges—A Review

Performance Analysis of IoT-Based Health and Environment WSN Deployment

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