Mobility prediction for re-routing strategy in drone networks

The use of drone networks in telecommunication especially in emergency situations has been increasing during the last years. The deployment of drones in the absence of network infrastructure or in cooperation with critical ones represents an important aid to guarantee the continuity of the services toward the clients. This paper introduces a modified Link-State routing method capable of regularly updating the link status of drones and dynamically reconfiguring the network topology, as well as re-routing current and incoming calls through paths with greater available bandwidth. To determine the optimal path for transmitting traffic between source and destination drones, we propose a modified version of the Ford-Fulkerson algorithm, considering the path with the highest remaining capacity. Additionally, we integrated a simple mobility prediction mechanism into the drone's capabilities to accelerate route pre-computation during user movement, thereby preventing and minimizing packet loss.