Fault tolerant WSN-based structural health monitoring

Liu, X.; Cao, Jiannong; Bhuiyan, Zakirul Alam; Lai, Steven; Wu, Hejun; Wang, Guanchao

doi:10.1109/dsn.2011.5958205

Cited by 12 publications

(13 citation statements)

References 15 publications

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“…There are a number of WSN approaches for SHM from both CSE and computer science domains that have assumed a hierarchical WSN architecture for structural monitoring in recent years [Jindal and Liu 2012;Liu et al 2011b;Sima et al 2011;Nie and Li 2011;Bhuiyan et al 2012b;Hackmann et al 2013;Liu et al 2011a]. However, none of these approaches focuses on how to deploy a WSN deployment in a hierarchical manner.…”

Section: Hierarchies In Wsns For Shm Approachesmentioning

confidence: 99%

Sensor Placement with Multiple Objectives for Structural Health Monitoring

Bhuiyan

Wang

Cao

et al. 2014

ACM Trans. Sen. Netw.

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Structural health monitoring (SHM) refers to the process of implementing a damage detection and characterization strategy for engineering structures. Its objective is to monitor the integrity of structures and detect and pinpoint the locations of possible damages. Although wired network systems still dominate in SHM applications, it is commonly believed that wireless sensor network (WSN) systems will be deployed for SHM in the near future, due to their intrinsic advantages. However, the constraints (e.g., communication, fault tolerance, energy) of WSNs must be considered before their deployment on structures. In this article, we study the methodology of sensor placement optimization for WSN-based SHM. Sensor placement plays a vital role in SHM applications, where sensor nodes are placed on critical locations that are of civil/structural engineering importance. We design a three-phase sensor placement approach, named TPSP, aiming to achieve the following objectives: finding a high-quality placement for a given set of sensors that satisfies the engineering requirements, ensuring communication efficiency and reliability and low placement complexity, and reducing the probability of failures in a WSN. Along with the sensor placement, we enable sensor nodes to develop "connectivity trees" in such a way that maintaining structural health state and network connectivity, for example, in case of a sensor fault, can be done in a distributed manner. The trees are constructed once (unlike dynamic clusters or trees) and do not incur additional communication costs for the WSN. We optimize the performance of TPSP by considering multiple objectives: low communication cost, fault tolerance, and lifetime prolongation. We validate the effectiveness and performance of TPSP through both simulations using real datasets and a proof-of-concept system on a physical structure.

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Section: Hierarchies In Wsns For Shm Approachesmentioning

confidence: 99%

Sensor Placement with Multiple Objectives for Structural Health Monitoring

Bhuiyan

Wang

Cao

et al. 2014

ACM Trans. Sen. Netw.

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“…Under these constraints, we need to minimize the amount of wireless data transmissions required for identifying natural frequencies and mode shapes. The justification of these two constraints and the objective function is similar to the ones described in [9,10]. To solve this clustering problem, the basic idea is to first partition the sensor network according to the substructures they belong, and using some greedy heuristic shown in [9,10] to control the cluster size while still satisfying the last two constraints.…”

Section: Cluster-based Natural Frequency Identificationmentioning

confidence: 98%

Realizing Fault-Tolerant SHM in WSNs

Cao

2016

SpringerBriefs in Electrical and Computer Engineering

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“…There were noteworthy efforts exerted for fault tolerance in WSNs as researchers conducted extensive studies and they suggested numerous fault-tolerance approaches for many applications. However, there were many reasons such as limited amount of energy, low network bandwidth, a huge data, complex algorithms and calculation, and environment noise 130–132 that made some of the classical strategies that were used for achieving good fault tolerance in wireless networks not directly applicable in the case of SHM. Efficient design of a solution for application-specific dependability concerning sensor node fault tolerance and detection is another important challenge in WSNs for SHM.…”

Section: The Key Challenges Of Wsns For Shmmentioning

confidence: 99%

“…Thus, when comparing data fault with function fault, it could be noticed that data fault was much more difficult to be detected and was probable to cause false alarms. 131,134,135…”

Section: The Key Challenges Of Wsns For Shmmentioning

confidence: 99%

“…In addition, in some cases, it is required to follow processes of isolation and identification for diagnosing and determining the real sources of faults. As demonstrated by Liu et al, 131 the integration of faulty node identification and damage detection together was efficiently performed. The proposed scheme also could elicit structural damage from faulty sensor reading.…”

Section: The Key Challenges Of Wsns For Shmmentioning

confidence: 99%

See 1 more Smart Citation

Wireless sensor network for structural health monitoring: A contemporary review of technologies, challenges, and future direction

Abdulkarem

Samsudin

Rokhani

et al. 2019

Structural Health Monitoring

261

122

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The importance of wireless sensor networks in structural health monitoring is unceasingly growing, because of the increasing demand for both safety and security in the cities. The speedy growth of wireless technologies has considerably developed the progress of structural monitoring systems with the combination of wireless sensor network technology. Wireless sensor network–based structural health monitoring system introduces a novel technology with compelling advantages in comparison to traditional wired system, which has the benefits of reducing installation and maintenance costs of structural health monitoring systems. However, structural health monitoring has brought an additional complex challenges in network design to wireless sensor networks. This article presents a contemporary review of collective experience the researchers have gained from the application of wireless sensor networks for structural health monitoring. Technologies of wired and wireless sensor systems are investigated along with wireless sensor node architecture, functionality, communication technologies, and its popular operating systems. Then, comprehensive summaries for the state-of-the-art academic and commercial wireless platform technologies used in laboratory testbeds and field test deployments for structural health monitoring applications are reviewed and tabulated. Following that, classification taxonomy of the key challenges associated with wireless sensor networks for structural health monitoring to assist the researchers in understanding the obstacles and the suitability of implementing wireless technology for structural health monitoring applications are deeply discussed with available research efforts in order to overcome these challenges. Finally, open research issues in wireless sensor networks for structural health monitoring are explored.

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Fault tolerant WSN-based structural health monitoring

Cited by 12 publications

References 15 publications

Sensor Placement with Multiple Objectives for Structural Health Monitoring

Sensor Placement with Multiple Objectives for Structural Health Monitoring

Realizing Fault-Tolerant SHM in WSNs

Wireless sensor network for structural health monitoring: A contemporary review of technologies, challenges, and future direction

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