Investigation of Traffic Pattern for the Augmented Reality Applications

Makolkina, Maria; Koucheryavy, Andrey; Paramonov, Alexander

doi:10.1007/978-3-319-61382-6_19

Cited by 15 publications

(2 citation statements)

References 18 publications

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“…For instance, the use of unmanned aerial vehicles (UAVs) may significantly improve and/or extend functionality of VANETs [2,3]. The use of augmented reality (AR) applications also adds new capabilities to VANETs [4], especially in conjunction with UAVs [5]. Commonly the VANET architecture, including the use of UAVs and AR applications, relies on the software-defined networking (SDN) concept [6,7].…”

Section: Introductionmentioning

confidence: 99%

The Use of UAVs, SDN, and Augmented Reality for VANET Applications

Makolkina¹,

Paramonov²,

Vladyko³

et al. 2018

dtcse

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Abstract. Vehicle ad hoc networks (VANETs) enable wireless ad hoc communications for performing efficient driver assistance and car safety. However, pure VANETs may be not sufficient to address all modern challenges. The software-defined networking (SDN) concept with separate planes for data forwarding and control can effectively supplement traditional VANETs. In this paper, we propose a model for traffic light control and coordination along the route of emergency vehicles (fire, police, and ambulance), in which an unmanned aerial vehicle (UAV) acts as an SDN controller. This model can also incorporate the use of augmented reality (AR) to mitigate the risks and distortion introduced by the emergency vehicles.

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Section: Introductionmentioning

confidence: 99%

The Use of UAVs, SDN, and Augmented Reality for VANET Applications

Makolkina¹,

Paramonov²,

Vladyko³

et al. 2018

dtcse

Self Cite

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“…A detailed dependency analysis presented in Equation (1) will make it possible to estimate how each node loads the network and how a certain growth affects the network characteristics that are necessary for network quality [20][21][22].…”

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confidence: 99%

Blockchain Behavioral Traffic Model as a Tool to Influence Service IT Security

et al. 2020

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The present article describes the behavioral model of blockchain services; their reliability is confirmed on the basis of experimental data. The authors identify the main technical characteristics and features associated with data transmission through the network. The authors determine the network scheme, working with blockchain transactions and the dependence of network characteristics on application parameters. They analyze the application of this model for the detection of the blockchain service and the possibility of the existing security mechanisms of this technology being evaded. Furthermore, the article offers recommendations for hiding the blockchain traffic profile to significantly complicate its identification in the data network.

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