Abstract
The unmanned aerial vehicle (UAV) swarm is a self-organizing swarm composed of multiple UAVs, and achieves mission objectives in an adaptive way. At present, the model of UAV swarm is based on complex network. Each UAV is represented as a node, and each link represents the information exchange between UAVs. However, the existing researches do not consider the cascading failure phenomenon of information exchange between swarms, that is, the failure of one or more nodes in the network will propagate to other nodes through the connection between nodes. In this paper, combined with the characteristics of UAV swarm and communication network, a multistate cascading failure model based on information load distribution and a dynamic network reconnection model based on probability are proposed by introducing the information transferring capacity of nodes. The concepts of network structure entropy (NSE) and relative scale of the swarm are introduced as evaluation indexes. Through modeling, simulation and experimental analysis, the propagation rules of cascading failure in swarm and its impact on network invulnerability are studied.
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