Robustness Analysis of UAV Swarm Communication System Based on Interdependent Network

Abstract

As the main equipment for earthquake disaster rescue and reconnaissance battlefield, the robustness of UAV swarm communication system is an important index of destruction resistance. In this paper, we model the UAV swarm communication system with the help of complex dependency network theory, introduce the relative network effectiveness ratio as an index of the overall robustness of the communication system network, which accurately reflects the interdependence between nodes, and provides a new perspective for evaluating the robustness of the communication system under the target attack. A new perspective is provided for assessing the robustness of communication systems under target attack. Based on the classical M-L model and the load redistribution strategy with dynamic information, we establish the dependent homogeneous ER-ER and heterogeneous ER-BA network models, consider the characteristics of the degree of dependent nodes in the two-layer network for target attack, and analyze the dynamic process of their cascading failure under the attack, as well as the influence of the characteristic parameters, such as the probability of connecting edges of any two nodes, the average degree and the capacity coefficient, on the overall robustness of the communication network. It is shown that network robustness and network dependency strength are negatively correlated, and a reduction of 52.09% to 72.9% dependency strength can be considered in the cascade failure process to resist more serious communication network collapse. For isomorphic networks, the difference in dependency patterns has a greater impact by reducing the overall robustness of RL and AL compared to DL by 9.25% and 15.95%, respectively.

Keywords

• |uav swarm|communication system|interdependent network|network relative effectiveness ratio|robustness