Resilience analysis for reconfigurable network with cascading failures

Abstract

A network is a topology composed of nodes and the edges of connecting nodes. The nodes interact with each other through edges and realize the function of network. The break of one or several nodes in the network will cause the failure of other nodes through the connection relationship between nodes and this phenomenon is known as cascading failure. The function of large network depends on network structure. When some nodes or edges fail, the network can restore and maintain certain functions by means of reconstruction and load distribution. Based on the cluster of unmanned aerial vehicle (UAV) and communication network, the cascading failure and reconfigurable features are considered in this study. By introducing the limitation of the maximum number of connections of nodes, a multi-state cascading failure rule based on information load distribution and a dynamic network reconnection rule based on probability are proposed, and the influence of the spread and propagation of cascading failure behavior on the invulnerability of the network are studied. Through simulation experiment design and analysis, several feasible suggestions to improve the invulnerability of UAV clusters are concluded.