Survey on Simulation for Mobile Ad-Hoc Communication for Disaster Scenarios

Rosas, Erika; Hidalgo, Nicolás; Gil-Costa, Verónica; Bonacic, Carolina; Marín, Mauricio; Senger, Hermes; Arantes, Luciana; Marcondes, Cesar Augusto Cavalheiro; Marin, Olivier

doi:10.1007/s11390-016-1630-x

Cited by 31 publications

(10 citation statements)

References 102 publications

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“…Two Security methods processed under the process of executing, Integration Detection systems and Way-Sharing techniques [34]. The executable grid used to inspect is the access element and the accuracy factor.…”

Section: Related Workmentioning

confidence: 99%

Black Hole Attack Prevention in Mobile Ad-hoc Network (MANET) using Ant Colony Optimization Technique

Khan

Aslam

Akhtar

et al. 2020

ITC

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The Mobile ad-hoc networks are auto configured systems where hubs can travel towards any direction. It doesn’t rely on any other frame to build the framework. Because of its versatility, the black hole is a real security issue to be settled. It occurs once a malignant hub referred to as black hole goes into the framework. Black hole center point exhibits its fake lead among the methodology after all disclosure. Currently, varied strategies are made arrangements for Mobile ad-hoc networks. Regardless, at interims seeing Black hole or fake hubs, the entire Mobile ad-hoc frameworks are exposed to various sorts of assaults or network attacks. Among these issues, a black hole center points plugs itself of getting a most nearest targeted hub, whose data packet must be constrained to drop. In this flooding procedures, if the communication from the genuine hub accomplishes later than the fake hub reply as requested by the standard hub. A false communication path is framed through a fake center hub. A perfect method is one in which the package reach to target with less delay and lesser overhead. In this paper we'll talk about the implementation of Ant Colony Optimization Technique and Repetitive Route Configuration with Reactive Routing Protocol for obstruction of black hole Attack in Mobile ad-hoc networks.

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Section: Related Workmentioning

confidence: 99%

Black Hole Attack Prevention in Mobile Ad-hoc Network (MANET) using Ant Colony Optimization Technique

Khan

Aslam

Akhtar

et al. 2020

ITC

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“…Furthermore, they showed that for major disasters there is a correlation between damage and social media activity. Other efforts have focused on communication infrastructure during earthquakes by providing methods to favor message sharing during disasters in mobile networks [23], providing access to spatio-temporal data during disasters [24], and testing communication infrastructure using simulated data [25]. Along this line, several text mining methods have been used to elaborate reports, providing event summarization [4] (a short textual description of the earthquake) or detecting local related events such as looting and pillage [26].…”

Section: Related Workmentioning

confidence: 99%

Nowcasting earthquake damages with Twitter

2019

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The Modified Mercalli intensity scale (Mercalli scale for short) is a qualitative measure used to express the perceived intensity of an earthquake in terms of damages. Accurate intensity reports are vital to estimate the type of emergency response required for a particular earthquake. In addition, Mercalli scale reports are needed to estimate the possible consequences of strong earthquakes in the future, based on the effects of previous events. Emergency offices and seismological agencies worldwide are in charge of producing Mercalli scale reports for each affected location after an earthquake. However, this task relies heavily on human observers in the affected locations, who are not always available or accurate. Consequently, Mercalli scale reports may take up to hours or even days to be published after an earthquake. We address this problem by proposing a method for early prediction of spatial Mercalli scale reports based on people's reactions to earthquakes in social networks. By tracking users' comments about real-time earthquakes, we create a collection of Mercalli scale point estimates at municipality (i.e., state subdivisions) level granularity. We introduce the concept of reinforced Mercalli support, which combines Mercalli scale point estimates with locally supported data (named 'local support'). We use this concept to provide Mercalli scale estimates for real-world events by providing smooth point estimates using a spatial smoother that incorporates the distribution of municipalities in each affected region. Our method is the first method based on social media that can provide spatial reports of damages in the Mercalli intensity scale. Experimental results show that our method is accurate and provides early spatial Mercalli reports 30 minutes after an earthquake. Furthermore, we show that our method performs well for earthquake spatial detection and maximum intensity prediction tasks. Our findings indicate that social media is a valuable source of spatial information for quickly estimating earthquake damages.

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“…Every year, millions of people are affected by natural disasters such as earthquakes, tsunamis, volcano eruptions, hurricanes, tornados and floods, and governments all around the world spend huge amounts of resources on the reconstruction and the preparation for such calamities. In 2013 alone, 97 million victims were affected by 330 natural disasters and the economic damage amounted to 156.6 billion dollars (Rosas et al 2016).…”

Section: Emergency Management and Responsementioning

confidence: 99%

Coordinating emergency response by competent teams

Hasse¹,

Gauthier²,

Rolt³

et al. 2018

IJCSIS

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ICTs and social networks can contribute to the emergence of creating competent teams for emergency response. For example, during disasters such as Pakistan flood of 2010, Japan tsunami of 2011 and Thailand flood of 2011, On-Line Social Networks (OSNs) have served as a main technology for numerous people seeking to share information about their personal status, to request resources, or to report the status of their community. They can be used at least for three main functions: detecting emergencies, disseminating information, and managing emergencies. On the other hand, the combination of Internet and mobile technology generated smart devices with associated sensor technologies that are becoming crucial parts in delivering supports during disaster and emergency situation. However, such use of mobile devices usually requires a reliable support system from crowdsensing technologies and back-end intelligent systems. In this way, the mobile crowdsensing must be designed with focus on mechanisms to identify and localize survivors and first responders in an incident zone, as well as mechanisms for competence characterization provided by social networks to facilitate coordination for individuals as well as crowds. These main technologies, the crowdsensing and social networks combined with semantic web and ontologies can provide a complete emergency response system that is the purpose of the CO-SEMIWA platform. This platform permits an interaction among participants to create dynamically competent teams where all participants perform tasks and solve problems in a specific emergency context and situation.

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Survey on Simulation for Mobile Ad-Hoc Communication for Disaster Scenarios

Abstract: International audienc

Cited by 31 publications

References 102 publications

Black Hole Attack Prevention in Mobile Ad-hoc Network (MANET) using Ant Colony Optimization Technique

Black Hole Attack Prevention in Mobile Ad-hoc Network (MANET) using Ant Colony Optimization Technique

Nowcasting earthquake damages with Twitter

Coordinating emergency response by competent teams

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