Middleware and communication technologies for structural health monitoring of critical infrastructures: A survey

Alonso, Luis; Barbaran, Javier; Chen, Jaime; Díáz, Manuel; Llopis, Luis; Rubio, Bartolomé

doi:10.1016/j.csi.2017.09.007

Cited by 57 publications

(27 citation statements)

References 31 publications

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“…To the best of our knowledge, there are no other devices that exploit the NB-IoT protocol to enable vibration-based SHM. In literature, [24], [25] provides several examples and evaluations on wireless communication applied to SHM, but none of them use NB-IoT. Also, in [22] are presented some examples of SHM systems based on MEMS sensors, but in all proposed solutions, the usage of NB-IoT is not considered.…”

Section: Related Workmentioning

confidence: 99%

Structural Health Monitoring system with Narrowband IoT and MEMS sensors

Brunelli¹,

Nuzzo²,

Polonelli³

et al. 2021

Preprint

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We propose a low-cost wireless sensor node specifically designed to support modal analysis over extended periods of time with long-range connectivity at low power consumption. Our design uses very cost-effective MEMS accelerometers and exploits the Narrowband IoT protocol (NB-IoT) to establish long-distance connection with 4G infrastructure networks. Long-range wireless connectivity, cabling-free installation and multi-year lifetime are a unique combination of features, not available, to the best of our knowledge, in any commercial or research device. We discuss in detail the hardware architecture and power management of the node. Experimental tests demonstrate a lifetime of more than ten years with a 17000 mAh battery or completely energy-neutral operation with a small solar panel (60 mm x 120 mm). Further, we validate measurement accuracy and confirm the feasibility of modal analysis with the MEMS sensors: compared with a high-precision instrument based on a piezoelectric transducer, our sensor node achieves a maximum difference of 0.08% at a small fraction of the cost and power consumption. <br> <br>

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Section: Related Workmentioning

confidence: 99%

Structural Health Monitoring system with Narrowband IoT and MEMS sensors

Brunelli¹,

Nuzzo²,

Polonelli³

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…Indeed, each WT exposes its Affordances through the TD in a standardized way; as a result, it is possible to build a real-time dependency graph among all the WTs of a distributed WoT system (as further detailed in Section V) and consequently envisage allocation policies that determine group migrations of interacting subsets of WTs in order to maximize the data locality. Clearly, group-based migration policies could be deployed also on top of other micro-services architectures; however, for the case of M-WoT, this feature could be supported in a general, protocol-agnostic way since the interactions among the WTs occur according to a standardized interface, and hence they could be easily accounted through the M-WoT monitoring layer described in Section IV-C. [36] [37], as proposed among others by the MAC4PRO project [38]. We assume that the monitoring system can work in two modes: Normal and Critical, denoting two different QoS requirements for the risk detection.…”

Section: M-wot: Preliminary Definitions and Motivationsmentioning

confidence: 99%

From Cloud to Edge: Seamless Software Migration at the Era of the Web of Things

et al. 2020

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“…For that reason, many research works have proposed interoperable middleware as a solution for enhancing the communication between remote cloud services and IoT applications. Moreover, they have focused on designing standard IoT-cloud middleware that could create a unified environment, allowing several IoT devices to communicate and interact with cloud platforms [87]. Additionally, the middleware could enhance the functionality of IoT applications by providing adapted cloud services and hiding all the details of heterogeneity in the IoT paradigm.…”

Section: Interoperable Middleware Platforms For Edge Computingmentioning

confidence: 99%

Moving to the Edge-Cloud-of-Things: Recent Advances and Future Research Directions

et al. 2018

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Cloud computing has significantly enhanced the growth of the Internet of Things (IoT) by ensuring and supporting the Quality of Service (QoS) of IoT applications. However, cloud services are still far from IoT devices. Notably, the transmission of IoT data experiences network issues, such as high latency. In this case, the cloud platforms cannot satisfy the IoT applications that require real-time response. Yet, the location of cloud services is one of the challenges encountered in the evolution of the IoT paradigm. Recently, edge cloud computing has been proposed to bring cloud services closer to the IoT end-users, becoming a promising paradigm whose pitfalls and challenges are not yet well understood. This paper aims at presenting the leading-edge computing concerning the movement of services from centralized cloud platforms to decentralized platforms, and examines the issues and challenges introduced by these highly distributed environments, to support engineers and researchers who might benefit from this transition.

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Middleware and communication technologies for structural health monitoring of critical infrastructures: A survey

Cited by 57 publications

References 31 publications

Structural Health Monitoring system with Narrowband IoT and MEMS sensors

Structural Health Monitoring system with Narrowband IoT and MEMS sensors

From Cloud to Edge: Seamless Software Migration at the Era of the Web of Things

Moving to the Edge-Cloud-of-Things: Recent Advances and Future Research Directions

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