Disaster resilience of optical networks: State of the art, challenges, and opportunities

Rak, Jacek; Girão‐Silva, Rita; Gomes, Teresa; Ellinas, Georgios; Kantarcı, Burak; Tornatore, Massimo

doi:10.1016/j.osn.2021.100619

Cited by 34 publications

(17 citation statements)

References 163 publications

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“…Efficient data transfer : During a disaster or a crisis, an extensive amount of information is shared either on social media or on conventional emergency platforms. However, it is highly critical to transfer data effectively and efficiently during a disaster, considering the limited bandwidth and intermittent connectivity [ 54 ]. Honarparvar et al [ 55 ] address the energy consumption problem in wireless sensor networks where sensor nodes are located far from the base stations.…”

Section: Resultsmentioning

confidence: 99%

Use of Mobile Crowdsensing in Disaster Management: A Systematic Review, Challenges, and Open Issues

Cicek

Kantarcı

2023

Sensors

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With the increasing efforts to utilize information and communication technologies (ICT) in disaster management, the massive amount of heterogeneous data that is generated through ubiquitous sensors paves the way for fast and informed decisions in the case of disasters. Utilization of the big “sensed” data leads to an effective and efficient management of disaster situations so as to prevent human and economic losses. The advancement of built-in sensing technologies in smart mobile devices enables crowdsourcing of sensed data, which is known as mobile crowdsensing (MCS). This systematic literature review investigates the use of mobile crowdsensing in disaster management on the basis of the built-in sensor types in smart mobile devices, disaster management categories, and the disaster management cycle phases (i.e., mitigation, preparedness, response, and recovery activities). Additionally, this work seeks to unveil the frameworks or models that can potentially guide disaster management authorities towards integrating crowd-sensed data with their existing decision-support systems. The vast majority of the existing studies are conceptual as they highlight a challenge in experimental testing of the disaster management solutions in real-life settings, and there is little emphasis on the use cases of crowdsensing through smartphone sensors in disaster incidents. In light of a thorough review, we provide and discuss future directions and open issues for mobile crowdsensing-aided disaster management.

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Section: Resultsmentioning

confidence: 99%

Use of Mobile Crowdsensing in Disaster Management: A Systematic Review, Challenges, and Open Issues

Cicek

Kantarcı

2023

Sensors

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“…A set of SRLGs can be very useful for network recovery/protection mechanisms but for network design it can not account directly for the effect of improving the seismic infrastructure for the components. As mentioned in [16], a failure model should consider that a optical fiber cables fail with a probability which depends on the length and on its distance to the epicenter, but also it should depend on the component characteristics.…”

Section: Related Workmentioning

confidence: 99%

Communication Network Reliability under geographically correlated failures using Probabilistic Seismic Hazard Analysis

Barrera¹,

Jiménez-Álvarez²,

Cancela³

2023

Preprint

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<p>The reliability of networks exposed to large disasters has grasped the research community's attention and has become a critical concern in network studies during the last decade. Looking at the damages caused by recent disasters, with earthquakes top the list of those showing more significant impacts on communication networks, and simultaneously, the least predictable events. This study uses the Probabilistic Seismic Hazard Analysis method to estimate the network element state after an earthquake. The approach considers a seismic source model and ground prediction equations to assess the intensity measure for each element according to its location. In the simulation, nodes fail according to the building's fragility curves. Similarly, links fail according to a failure rate estimated based on the intensity measure and the cable's characteristics. We use the source-terminal, and the diameter constrained reliability metrics. The approach goes beyond the graph representation of the network accounting for the seismic risk in the geographical region where the network is embedded. Incorporating the terrain characteristics and the component's robustness into the network performance analysis at an a ordable computational cost.</p>

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“…A set of SRLGs can be very useful for network recovery/protection mechanisms but for network design it cannot account directly for the e↵ect of improving the seismic infrastructure for the components. As mentioned in [16], a failure model should consider that optical fiber cables fail with a probability which depends on the length and on its distance to the epicenter, but it should also depend on the component characteristics.…”

Section: Related Workmentioning

confidence: 99%

Communication Network Reliability under geographically correlated failures using Probabilistic Seismic Hazard Analysis

Barrera¹,

Jiménez-Álvarez²,

Cancela³

2023

Preprint

View full text Add to dashboard Cite

<p>The research community’s attention has been attracted to the reliability of networks exposed to large-scale disasters and this has become a critical concern in network studies during the last decade. Earthquakes are high on the list of those showing the most significant impacts on communication networks, and simultaneously, they are the least predictable events. This study uses the Probabilistic Seismic Hazard Analysis method to estimate the network element state after an earthquake. The approach considers a seismic source model and ground prediction equations to assess the intensity measure for each element according to its location. In the simulation, nodes fail according to the building's fragility curves. Similarly, links fail according to a failure rate depending on the intensity measure and the cable's characteristics. We use the source-terminal, and the diameter constrained reliability metrics. The approach goes beyond the graph representation of the network and incorporates the terrain characteristics and the component's robustness into the network performance analysis at an affordable computational cost. We study the method on a network in a seismic region with almost 9000 km of optical fiber. We observed that for source-terminal that are less than 500 km apart the improvements are marginals while for those that are more than 1000 km apart, reliability improves near a 30\% in the enhanced designs. We also showed that these results depend heavily on the robustness/fragility of the infrastructure, showing that performance measures based only the network topology are not enough to evaluate new designs.</p>

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Disaster resilience of optical networks: State of the art, challenges, and opportunities

Cited by 34 publications

References 163 publications

Use of Mobile Crowdsensing in Disaster Management: A Systematic Review, Challenges, and Open Issues

Use of Mobile Crowdsensing in Disaster Management: A Systematic Review, Challenges, and Open Issues

Communication Network Reliability under geographically correlated failures using Probabilistic Seismic Hazard Analysis

Communication Network Reliability under geographically correlated failures using Probabilistic Seismic Hazard Analysis

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