Structural Health Monitoring over 5G uRLLC Network

Franchi, Fabio; Graziosi, Fabio; Marotta, Andrea; Rinaldi, Claudia

doi:10.1007/978-3-030-64594-6_7

Cited by 2 publications

(2 citation statements)

References 16 publications

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“…These low-cost MEMS, with a maximum resolution of 16-bits, can detect earthquakes tens of kilometres away [13]. Dense networks of these low-cost Class-C MEMS accelerometers have been used in seismological investigations, structural health monitoring, and EEW applications [12,13,32]. The P-Alert network in Taiwan, for example, uses a dense array of MEMS accelerometers that form a network of mini-arrays to record from moderate to large strong-motion events [11,14].…”

Section: Current State-of-the-art Of Low-cost Eew Solutionsmentioning

confidence: 99%

“Saving Precious Seconds”—A Novel Approach to Implementing a Low-Cost Earthquake Early Warning System with Node-Level Detection and Alert Generation

et al. 2022

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This paper presents findings from ongoing research that explores the ability to use Micro-Electromechanical Systems (MEMS)-based technologies and various digital communication protocols for earthquake early warning (EEW). The paper proposes a step-by-step guide to developing a unique EEW network architecture driven by a Software-Defined Wide Area Network (SD-WAN)-based hole-punching technology consisting of MEMS-based, low-cost accelerometers hosted by the general public. In contrast with most centralised cloud-based approaches, a node-level decentralised data-processing is used to generate warnings with the support of a modified Propagation of Local Undamped Motion (PLUM)-based EEW algorithm. With several hypothetical earthquake scenarios, experiments were conducted to evaluate the system latencies of the proposed decentralised EEW architecture and its performance was compared with traditional centralised EEW architecture. The results from sixty simulations show that the SD-WAN-based hole-punching architecture supported by the Transmission Control Protocol (TCP) creates the optimum alerting conditions. Furthermore, the results provide clear evidence to show that the decentralised EEW system architecture can outperform the centralised EEW architecture and can save valuable seconds when generating EEW, leading to a longer warning time for the end-user. This paper contributes to the EEW literature by proposing a novel EEW network architecture.

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Section: Current State-of-the-art Of Low-cost Eew Solutionsmentioning

confidence: 99%

“Saving Precious Seconds”—A Novel Approach to Implementing a Low-Cost Earthquake Early Warning System with Node-Level Detection and Alert Generation

et al. 2022

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“…The fifth generation (5G) wireless networks have identified massive machine-type communications (mMTC) as a key enabler, encompassing use cases where multiple low-power sensor nodes (SNs) sporadically transmit information at relatively low data rates. Typical examples include smart-grids [2], smart cities [3], infrastructure monitoring [4], asset tracking [5], healthcare [6] and others. Wireless sensor networks (WSNs) composed of spatially distributed SNs within 5G/6G networks come with ever-increasing demands for higher energy efficiency and longer life spans [7].…”

Section: Introductionmentioning

confidence: 99%

Optimization and design of a diffuse optical wireless sensor network

et al. 2022

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Wireless sensor networks (WSNs) are currently being deployed in everyday objects to collect and transmit information related to humidity, temperature, heartbeat, motion, etc. Such networks are part of the massive machine-type communication (mMTC) scenario within the fifth/sixth generation of wireless networks. In this paper, we consider the optimization and design of an optical WSN composed of multiple battery-powered sensor nodes based on light-emitting diode transmitters. Extending our previous work, we take into account both line-of-sight and diffuse-light propagation, and show that in indoor scenarios, diffuse radiation can improve link availability under shadowing/blocking and extend battery life. In order to optimize the optical wireless link parameters, we use a machine-learning approach based on a genetic algorithm to ascertain the performance limits of the system. The presented results indicate that the proposed system is a viable wireless option for WSNs within the context of mMTC.

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Structural Health Monitoring over 5G uRLLC Network

Cited by 2 publications

References 16 publications

“Saving Precious Seconds”—A Novel Approach to Implementing a Low-Cost Earthquake Early Warning System with Node-Level Detection and Alert Generation

“Saving Precious Seconds”—A Novel Approach to Implementing a Low-Cost Earthquake Early Warning System with Node-Level Detection and Alert Generation

Optimization and design of a diffuse optical wireless sensor network

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