Robust fiber-optic sensor networks

Pérez-Herrera, Rosa Ana; Fernández-Vallejo, M.; Lopez-Amo, M.

doi:10.1007/s13320-012-0083-2

Cited by 18 publications

(14 citation statements)

References 47 publications

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“…The study presented here can be useful for the optical interference fringe shift and tilt analysis to be employed in interference lithography, surface metrology, mechanical displacement/vibration measurement, astronomical interferometry, study on nonlinear optical materials, optical sensing, and several other applications [22][23][24][25][26].…”

Section: Shift Analysis Results and Discussionmentioning

confidence: 99%

A comparison of image processing techniques for optical interference fringe analysis

et al. 2015

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We present a comparison of different techniques for the analysis of the shift and tilt in optical interference fringes. Fringe center, Radon transform, and Gaussian approximation methods are used for fringe analysis. We have measured the tilt and shift between two relevant fringe patterns. The error in tilt measurement was about 2%, and the displacement of the order of few nanometers was measured by the fringe shift analysis. The comparison between the techniques is analyzed with respect to percentage error.

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Section: Shift Analysis Results and Discussionmentioning

confidence: 99%

A comparison of image processing techniques for optical interference fringe analysis

et al. 2015

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“…This is of great importance when the monitored structure is of high value or in critical human safety situations [8]. Some work has been done to improve this capacity [9][10][11][12][13], although more research should be addressed combining long distance and resilience [10].…”

Section: Fiber-optic Sensor Network-backgroundmentioning

confidence: 99%

Truly remote fiber optic sensor networks

Soto

López-Amo

2019

J. Phys. Photonics

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An overview of truly remote fiber optic sensors is presented in this work. It starts with a brief introduction of fiber optic sensor networks, showing their advantages and multiple applications. Then, the definition of truly remote networks is provided, and their main challenges discussed, such as increasing the sensing distance and the number of sensors interrogated. Several multiplexing techniques have been compared, such as wavelength, time and coherence division multiplexing. In relation to this, the most recent works showing multi wavelength fiber lasers for wavelength division multiplexing have been grouped and their versatility analyzed. Finally, recent and relevant truly remote fiber optic networks have been gathered and some of the most representative schemes explained in detail, comparing their multiplexing capability and the remoteness of the monitored sensors. Random distributed feedback fiber lasers form part of a number of these schemes, proving the suitability of this type of lasers for their use in ultra-long truly remote sensing applications.

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“…Due to wide distribution and high severity, natural disasters are big threats to the normal operation of optical sensor networks (OSNs). Therefore, the survivability of optical sensing and optical communication in OSNs in times of disaster is attracting wide-spread attention [22,23,24,25,26]. Moreover, optical sensing can help improve the survivability of optical networks [27,28].…”

Section: Introductionmentioning

confidence: 99%

Survivable Deployments of Optical Sensor Networks against Multiple Failures and Disasters: A Survey

Zhang

Xin

2019

Sensors

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Optical sensing that integrates communication and sensing functions is playing a more and more important role in both military and civil applications. Incorporating optical sensing and optical communication, optical sensor networks (OSNs) that undertake the task of high-speed and large-capacity applications and sensing data transmissions have become an important communication infrastructure. However, multiple failures and disasters in OSNs can cause serious sensing provisioning problems. To ensure uninterrupted sensing data transmission, survivability has always been an important research emphasis. This paper focuses on the survivable deployment of OSNs against multiple failures and disasters. We first review and evaluate the existing survivability technologies developed for or applied to OSNs, such as fiber bus protection, self-healing architecture, and 1 + 1 protection. We then elaborate on the disaster-resilient survivability requirement of OSNs. Moreover, we propose a new k-node (edge) sensing connectivity concept, which ensures the connectivity between sensing data and users. Based on k-node (edge) sensing connectivity, the disaster-resilient survivability technologies are developed. The key technologies necessary to implement k-node (edge) sensing connectivity are also elaborated. Recently, artificial intelligence (AI) has developed rapidly. It can be used to improve the survivability of OSNs. This paper details potential development directions of survivability technologies of optical sensing in OSNs employing AI.

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Robust fiber-optic sensor networks

Cited by 18 publications

References 47 publications

A comparison of image processing techniques for optical interference fringe analysis

A comparison of image processing techniques for optical interference fringe analysis

Truly remote fiber optic sensor networks

Survivable Deployments of Optical Sensor Networks against Multiple Failures and Disasters: A Survey

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