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.
UAVs Cluster Routing Connectivity ferry
Jian Shu Yangfan Ge Linlan Liu Limin Sun
Networking Research Institute Nanchang Hangkong University Nanchang, China Institute of Software Chinese Academy of Sciences Beijing, China
国际会议
哈尔滨
英文
1983-1987
2011-12-24（万方平台首次上网日期，不代表论文的发表时间）