基于协作通信的无人机集群网络连通性恢复机制OA

Unmanned aerial vehicle(UAV)swarm networks are often divided into multiple separated clusters due to the high dynamics of nodes and the instability of links.As a result,network connectivity recovery is an important issue in this area.Existing solutions often require UAV nodes to move long distances to restore communication connec-tions,resulting in significant time and energy costs.In this paper,we study the issue of utilizing cooperative com-munication technology to improve the connectivity recovery efficiency in UAV networks.Then,we design a cooper-ative communication based connectivity recovery algorithm for UAV swarm networks,named C3RUN.The algo-rithm utilizes cooperative communication to expand the communication range of UAV nodes and moves them to more suitable positions to further improve the performance of cooperative communication,thereby achieving rapid recov-ery of network connectivity.Finally,we conduct extensive simulations to evaluate the performance of C3RUN.Sim-ulation results reveal that compared with two connectivity recovery algorithms based on graph convolutional neural networks and virtual potential fields,the C3RUN speeds up the recovery time by 24.1%and 60.5%respectively,and reduces the average moving distance of nodes by 19.2%and 54.4%respectively.