# Multilayered Network Model for Mobile Network Infrastructure Disruption
## 1 Introduction  
New generation networks, also known as 5G networks, are slowly becoming the part of our lives. In the future, they will bring new opportunities and different views of the network of today. With the phenomenon known as the Internet of Things (IoT), the Internet will become increasingly complex, smart, and pervasive. Upcoming trends include smart homes, smart cities and Industry 4.0 with different applications, such as industrial automation, public health and information systems, city management, energy efficiency and public safety. Everything will be possible thanks to the new type of mobile networks, called heterogeneous network that will work as one functional complex network. New 5G networks are considered to be a promising technology that incorporates different types of networks to provide needed functionality and applications. Massive transport of the IoT data will require to use the alternative type of mobile network such as Wireless Sensor Networks (WSN), Mobile Ad-Hoc Networks (MANET), Drone Networks (DRONET) and use their benefits. One of the urgent goals for the next generation networks are to provide uninterrupted public safety and health service in different scenarios, where fixed infrastructure will be disrupted. This scenario includes natural disasters (earthquakes, fires, floods, hurricanes), human errors (nuclear, chemical, biological, radiological exposures or railway and car accidents), and malicious criminal actions (terrorists or cyber-attacks) [1]. Other goals for designers of Public Protection and Disaster Relief (PPDR) agencies are not only to provide a reliable communication network for public safety agenciesand departments such as police, emergency, etc., but to provide the data services to all people during emergency and disaster situations, where existing fixed communication infrastructure could be destroyed [2,3]. The one possible solution to these problems could be a resilient multilayered network model, which is able to provide necessary services even in unpredictable situations mentioned above. In this paper, the multilayered network model composed of Wireless Sensor Networks (WSN), Mobile Ad-Hoc Networks (MANET), and Drone Networks (DRONET) will be introduced. WSN networks are considered to be a type of IoT network composed of numerous low energy sensors, which are responsible for collecting measured data. WSN sensors could be situated in different types of environments, such as hospitals for collecting critical health data, on the beach to collect sea level data before the tsunami waves or to the amount of CO\({}_{2}\) and quality of the air during fires. Collected data are then distributed in a multihop ad-hoc manner to cloud data centers for processing. Our proposal deals with destroyed fixed infrastructures, where fixed Access Points are not functional. Urgent data from the WSN network cannot be delivered and this could lead to system errors or misleading information on the server-side. The solution of this problem could be the MANET network, which is an autonomous self-organized network that could offer support for rescue operations and was used before by the military to surveying inaccessible areas. Thanks to the support of mobility, higher data rates, and lower energy constraints, urgent data could be delivered from the WSN network through the MANET network to another operational Access Point in a multihop manner with respect to device-to-device (D2D) communication principals. The reach can be extended by using unmanned aerial vehicles (UAVs) such as drones in DRONET network. UAVs can be used for data collection, or for delivery of urgent data from isolated MANET subnetworks, which were created by the movement of MANET nodes. The aim of this study is to provide innovative and resilient way to deal with the failure or disruption of fixed infrastructure for upcoming 5G networks and its urgent applications.