Unmanned aerial vehicle ad hoc network route selection method and system adopting gray Markov model

• Main Authors: HU HUANFENG, SHU JIAN, LIU LINLAN
• Format: Patent
• Language: Chinese; English
• Published: 14.01.2020
• Subjects: ELECTRIC COMMUNICATION TECHNIQUE; ELECTRICITY; TRANSMISSION; WIRELESS COMMUNICATIONS NETWORKS

The invention relates to an unmanned aerial vehicle ad hoc network route selection method and system adopting a gray Markov model. The method comprises: acquiring node position information corresponding to each unmanned aerial vehicle node; constructing a gray Markov model, and predicting and obtaining a node position prediction value; calculating and obtaining the link retention time, the motionsimilarity and the link quality according to the node position prediction value; and through an information gain method, carrying out importance ranking on the link retention time, the motion similarity and the link quality, calculating and obtaining forwarding weights of all neighbor nodes corresponding to the current sending node, and taking the node with the maximum forwarding weight as a nexthop node. The unmanned aerial vehicle ad hoc network route selection method adopting the gray Markov model can meet the communication network requirements of unmanned aerial vehicle cluster battle, and has wide application pro