Softwarized and Resilient Multi-UAV Network Applied to Rocket Impact Area Scanning
FANET, softwarized network, SD-FANET, path selection, resilience.
The scanning area procedure of the probable impact region is a mandatory step in the pre-launch
phase of any rocket. The objective is restrict the presence of unauthorized vessels, avoiding
possible accidents and, consequently, preserv human lives. Considering the high operational cost
of this procedure, normally performed by a P-95 aircraft, the SpaceVANT II project proposed the
execution of the area scan by a fleet of Unmanned Aerial Vehicles (UAVs) that, acting in a
cooperative way, have the ability to execute the mission with lower cost and operational complexity.
In this context, it is essential to create a communication network able to ensure the exchange of
information between the aircraft that make up the system. One of the most used alternatives to
provide this communication network is mobile ad hoc network (MANET) protocols adapted for
flying ad hoc networks (FANET). However, managing the dynamic behavior of this type of network
in order to minimize disconnections and enable the necessary conditions for the operation of
applications on board aircraft is not simple and has found limitations in the solutions adopted. In
this perspective, this thesis proposed a management based Software Defined Networking (SDN)
called SD-FANET. Design on a distributed and hierarchical architecture, the SD-FANET control
plane allows centralized management and assigns the controller the ability to program the
switches, changing the data forwarding from a holistic view of the network. The SDN approach
allows the use of different path selection algorithms, which adds more flexibility and improvement
to the forwarding process. To validate the proposed solution, experiments were carried out in the
emulated environment provided by Mininet-Wifi and a proof of concept based on a prototype using
a communication protocol developed to enable transmission of images in ZigBee communication
links embedded in DJI Phantom 3 Standard drones. The results showed that the throughput
obtained by SD-FANET was 22.2% better than MANET protocols and 5.4% in relation to the local
SDN controller. The average recovery time provides by resilience mechanisms was about 1.5 s.