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| mobility prediciton clustering routing in uavs | |
| Shu Jian; Ge Yangfan; Liu Linlan; Sun Limin | |
| 2011 | |
| Conference Name | 2011 International Conference on Computer Science and Network Technology, ICCSNT 2011 |
| Source | Proceedings of 2011 International Conference on Computer Science and Network Technology, ICCSNT 2011 |
| Pages | 1983-1987 |
| Conference Date | December 24, 2011 - December 26, 2011 |
| Conference Place | Harbin, China |
| Indexed Type | EI |
| ISBN | 9781457715846 |
| Department | (1) Networking Research Institute Nanchang Hangkong University Nanchang China; (2) Institute of Software Chinese Academy of Sciences Beijing China |
| English Abstract | 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. © 2011 IEEE.; 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. © 2011 IEEE. |
| Keyword | Computer Science Data Communication Systems Unmanned Aerial Vehicles (Uav) |
| Language | 英语 |
| Content Type | 会议论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/16301 |
| Collection | 中国科学院软件研究所 |
| Recommended Citation GB/T 7714 | Shu Jian,Ge Yangfan,Liu Linlan,et al. mobility prediciton clustering routing in uavs[C],2011:1983-1987. |
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