# Multilayered Network Model for Mobile Network Infrastructure Disruption
## 8 Conclusions  
In this paper, the new multilayered network model (MNM) for the disrupted infrastructure of the 5G mobile network was introduced. The main goal of this paper is to present possibilities and ideas, which describes how multilayered network models can be built and which technologies and routing protocols is possible to implement.  
Therefore, the MNM concept is composed of three independent layers of networks, which are capable of collaboration if disruption of fixed infrastructure occurs. The whole model is able to perform data collection at WSN layer using sensors, which mimic the IoT behaviour by sending those data to the Cloud. If disruption scenario occurs, only urgent data are allowed to pass into higher layers through the introduced system of WSN gateways. The disrupted part of the network can be bypassedwith MANET nodes of MANET layer, which offers longer radio ranges and higher data rates and thus faster delivery. If MANET subnetworks are unable to deliver urgent data, it is possible to use backbone DRONET network, which offers even longer radio ranges and higher data rates. The UAVs of DRONET are able to discover MANET nodes and perform clustering mechanism to effectively cover MANET subnetworks with UAVs. Along with MNM, recommendations for use of possible wireless technologies with routing protocols were provided. In addition to these recommendations, the exception mechanism for urgent data delivery in routing algorithms was introduced to all layers.  
In order to show that the concept is capable of providing the intended functionalities and also highlighting the differences between typical WSN network and MNM, simplified Matlab simulations were provided. More complex simulations in simulators, such as OPNET Modeler or Ns-3, are in the process of preparation and will be included in future papers.  
The MNM model provides new possibilities to use wireless networks without any infrastructure as a public safety network. This model should be used not only during an emergency and crises to transport IoT data between different terminals and sensors. MNM model enables to increase the mobility of the mobile terminals, design new services and applications as well.  
Future research also includes implementation of IPv6 routing to Adaptive Routing protocol for CR-MANET (AR-CRM) in order to provide methods for spectrum sensing and intelligent method for channel management, which can result in lower interference between MANET nodes. Another step is to provide research of Fuzzy logic inside AR-CRM and spectrum sensing methods in order to manage MANET channels according ZigBee channels in WSN network. A detailed study of critical areas such as access control, both network and information security as well as evaluation of energy consumption in each layer by presenting a multilayered network model will be the subject of future studies and publications. The proposed MNM concept needs improvements, especially in the security area, which is mandatory for future networks. Improvements are also needed in terms of UAV management in DRONET network, where the complex algorithm needs to be established based on energy consumption constrains, security and privacy.  
Conceptualization, D.H. and J.P.; methodology, L.D.; data analysis, L.O.; validation, D.H, J.P. and L.D.; formal analysis, L.O.; investigation, D.H.; resources, J.P.; data curation, L.O.; writing--original draft preparation, D.H and J.P.; writing--review and editing, L.D.; visualization, J.P.; project administration, J.P.; funding acquisition, J.P. All authors have read and agreed to the published version of the manuscript. This research received no external funding. This work has been performed in the framework of the ministry of education of Slovak republic under research VEGA 1/0492/18 and APVV-17-0208. The authors declare no conflict of interest.