| Title: | mobility prediciton clustering routing in uavs |
| Author: | Shu Jian
; Ge Yangfan
; Liu Linlan
; Sun Limin
|
| Source: | Proceedings of 2011 International Conference on Computer Science and Network Technology, ICCSNT 2011
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| Conference Name: | 2011 International Conference on Computer Science and Network Technology, ICCSNT 2011
|
| Conference Date: | December 24, 2011 - December 26, 2011
|
| Issued Date: | 2011
|
| Conference Place: | Harbin, China
|
| Keyword: | Computer science
; Data communication systems
; Unmanned aerial vehicles (UAV)
|
| 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
|
| 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. |
| 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. |
| Language: | 英语
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| Content Type: | 会议论文
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| URI: | http://ir.iscas.ac.cn/handle/311060/16301
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| Appears in Collections: | 软件所图书馆_会议论文
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| Recommended Citation: | |
Shu Jian,Ge Yangfan,Liu Linlan,et al. mobility prediciton clustering routing in uavs[C]. 见:2011 International Conference on Computer Science and Network Technology, ICCSNT 2011. Harbin, China. December 24, 2011 - December 26, 2011.
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