Students Social Based Mobility Model for MANET-DTN Networks

Hrabcak, David; Matis, Martin; Dobos, Lubomir; Papaj, Jan

doi:10.1155/2017/2714595

Cited by 10 publications

(13 citation statements)

References 19 publications

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“…However, Matlab enables us to simplify the concept of MNM network and provide proof of concept. With Matlab, it is also possible to use a variety of different mobility models for MANET networks such as Random-Way Point or social-based mobility model described in [ 43 ]. Matlab also provides possibilities to implement computationally intensive algorithms such as PSO for clustering.…”

Section: Simulations and Resultsmentioning

confidence: 99%

Multilayered Network Model for Mobile Network Infrastructure Disruption

Hrabcak

Dobos

Papaj

et al. 2020

Sensors

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In this paper, the novel study of the multilayered network model for the disrupted infrastructure of the 5G mobile network is introduced. The aim of this study is to present the new way of incorporating different types of networks, such as Wireless Sensor Networks (WSN), Mobile Ad-Hoc Networks (MANET), and DRONET Networks into one fully functional multilayered network. The proposed multilayered network model also presents the resilient way to deal with infrastructure disruption due to different reasons, such as disaster scenarios or malicious actions. In the near future, new network technologies of 5G networks and the phenomenon known as the Internet of Things (IoT) will empower the functionality of different types of networks and interconnects them into one complex network. The proposed concept is oriented on resilient, smart city applications such as public safety and health and it is able to provide critical communication when fixed network infrastructure is destroyed by deploying smart sensors and unmanned aerial vehicles. The provided simulations shows that the proposed multilayered network concept is able to perform better than traditional WSN network in term of delivery time, average number of hops and data rate speed, when disruption scenario occurs.

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Section: Simulations and Resultsmentioning

confidence: 99%

Multilayered Network Model for Mobile Network Infrastructure Disruption

Hrabcak

Dobos

Papaj

et al. 2020

Sensors

Self Cite

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“…There were used one social based mobility model SSBMM [17] and two random mobility models: Matis model [18], and Random Walk [19].…”

Section: Simulations and Resultsmentioning

confidence: 99%

“…Mentioned method was simulated against other commonly used evaluation methods such as protocol dependent methods and protocol independent methods. Simulation of particular methods was evaluated using two random based mobility models (Matis [18], Random walk [19]) and social based mobility model (SSBMM [17]). From performed simulations, we made following conclusions.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

“…In simulations of 50 and 100 nodes, SSBMM has 2 communities. Those two communities were actually nodes divided by their origin (Dormitory, City settlement from SSBMM model [17]) that is possible to see on Fig. 9h, j, the odd nodes are from Dormitory and even 6 Number of communities in 100 m radio range nodes are from City settlement.…”

Section: Number Of Communitiesmentioning

confidence: 99%

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Tools for evaluation of social relations in mobility models

et al. 2017

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In MANET-DTN, the main idea is to detect the social relations between nodes in mobility models because the wireless mobile devices are carried by humans and the network uses the social relations to transport messages between isolated islands of the mobile terminals in order to increase the network performance. Today there are a lot of social and non-social mobility models. The problem is how to use these models in MANET-DTN. Therefore, proper evaluation method is needed, that is able to reveal the social aspect of investigated mobility model. Since there are a lot of methods that do not directly exhibit the social aspect of mobility models, in this paper the new evaluation method was proposed based on Louvain method for community detection and the other network graph parameter (average weighted degree). Simulations of evaluation method were made as a comparison between two random mobility models and one social based mobility model in order to point out differences between social and non-social mobility models. All models were evaluated by proposed method and other existing protocol dependent and independent methods. The main idea of the simulations was to analyse how the mobility modThis work was performed in the framework of research project VEGA 1/0075/15, funded by the ministry of education of Slovak Republic. els with social and non-social mobility models can affect the network performance and provide new and reliable tool, which enables analysis of the mobility models from social behaviour point of view.

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“…Anyway, the basic educational method still remains practical pilot training on simulators. The simulator training is included in two subjects "Flight Simulator Practical Training part I, II, III" and "Flight Planning and Monitoring" [7][8][13][14][15].…”

Section: Methods and Forms Of Educational Processes For Military Pilotsmentioning

confidence: 99%

The Educational Models in Air Force Personnel Training Process

Polishchuk

Ďurčo

Mikula

et al. 2019

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This study deals with the project research titled “The Educational models for Air Force Personnel training process”, ordered by the Air Force of the Slovak Armed Forces. The research is focused on analyses and evaluation of theoretical and practical part of military pilots training at the Faculty of Aeronautics in the past and comparing with existing educational processes. The research unveils the strengths and weaknesses of the educational programmes through the history of the faculty since established as the University of Air Force at Kosice till its present status.

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Students Social Based Mobility Model for MANET-DTN Networks

Cited by 10 publications

References 19 publications

Multilayered Network Model for Mobile Network Infrastructure Disruption

Multilayered Network Model for Mobile Network Infrastructure Disruption

Tools for evaluation of social relations in mobility models

The Educational Models in Air Force Personnel Training Process

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