LAUSR

The node importance evaluation of the Internet of drones, also called unmanned aerial vehicle swarm network, can assist network administrators in implementing security protection for important nodes, slowing down attacks on important nodes and providing support for network enhancement. Complex network is a strong theoretical tool in modeling, analyzing, and identifying the most important drone nodes. Most researchers utilize single attribute of nodes, such as degree, betweenness centrality, and so on, to perform node importance assessment. However, the methods involved either only consider the local features of nodes or only concentrate on the nodes' participation on the shortest path. Aiming at this problem, in this article, we develop a three-way decisions-based Pythagorean fuzzy technique for order preference by similarity to ideal solution (TOPSIS) model. It selects multiple measures of nodes as attributes to assess node importance. In addition, it considers the Pythagorean fuzzy middle ideal solution that is induced by the new proposed Pythagorean fuzzy operator. Simulation results manifest its feasibility in assessing node importance.