Mobility prediciton clustering routing in UAVs

This paper proposes a Mobility Prediction Clustering Routing (MPCR) algorithm in view of UAV (Unmanned Aerial Vehicle) moves at a high speed and its topology changes frequently. The algorithm is applied to UAV Teams. MPCR selects the node that has largest connectivity as cluster head so as to reduce the change of the cluster head and cluster members. Meanwhile, in order to provide communication services for the disconnected clusters, MPCR introduces ferry nodes which forward messages selectively in order to diffuse and submit the copy of the message better. Experiment results show that compared with several existing algorithms, MPCR can obtain a higher data transmission success rate with lower consumption and transmission delay.