Intuitionistic Fuzzy Vikor Based Routing Discovery Method for UAV Ad Hoc Networks

The existing reaction routing protocol uses broadcast route request (RREQ) for routing discovery. However, broadcast RREQ by flooding may cause redundant message relays. Researchers developed the probability-based method to select nodes with stronger adaptability for routing discovery by taking into account various attributes, such as the residual energy, the mobility of nodes. However, as the attribute information of nodes changes with time, most probability based routing discovery methods fail consider the dynamicity and the uncertainty of the attribute information of the node, the design of the probability function is usually the integration of the attribute values of the node. In order to solve these problems, we use intuitionistic fuzzy membership degree to describe the dynamicity and uncertainty of the attribute information, an intuitionistic fuzzy Vikor (IF-Vikor) based routing discovery method for UAV ad hoc networks is developed in this paper. According to the attribute information of the node itself, the group utility value and individual regret value of the current node in the routing table are calculated, and then the corresponding Q value is calculated as the probability function value of the node. The probability function here is no longer a simple integration of the attribute values of the node, the nodes with better Q values will be used for routing discovery, which is an improvement of the probability based routing discovery method. The simulation results show that our method can improve the performance of the routing protocol.