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Multilayered Network Model for Mobile Network Infrastructure Disruption.

David HrabcakLubomir DobosJan PapajLubos Ovsenik
Published in: Sensors (Basel, Switzerland) (2020)
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.
Keyphrases
  • healthcare
  • public health
  • mental health
  • machine learning
  • climate change
  • network analysis
  • social media
  • functional connectivity
  • artificial intelligence
  • molecular dynamics
  • resting state