Model of information interaction channel routing on the FANET network using fuzzy logic

The Flying Adhoc (FANET) network is focused on the use of mobile airborne objects and makes it possible to form selforganizing networks, which can provide channels of information interaction between these objects and not be limited. A specific property of airborne objects (FANET agents) is a high speed of movement and a limited communication range, which leads to frequent topology changes in a changing noise environment. This entails a data availability violation and may lead to the impossibility of performing the task by the group. One of the ways to improve the quality of information interaction between agents in the FANET network is to optimize the routing of information interaction channels in the dynamic topology of mobile agents. The paper proposes a model for routing communication channels in the FANET network using a fuzzy logic approach for grouping unmanned aerial vehicles (UAVs) with limited performance. The proposed model provides higher stability of the communication system for mobile objects when there are potential threats to the UAV grouping. The productivity of the described solutions is confirmed by the study of the developed Fuzzy protocol implemented in the NS3 environment: an analysis of quality indices is carried out in comparison with the well-known routing protocols AODV, OLSR.