DocumentCode :
2167530
Title :
The clustering algorithm of UAV Networking in Near-space
Author :
Liu Kesheng ; Zhang Jun ; Zhang Tao
Author_Institution :
Sch. of Electron. & Inf. Eng., Beihang Univ., Beijing
fYear :
2008
fDate :
2-5 Nov. 2008
Firstpage :
1550
Lastpage :
1553
Abstract :
Considering the features of UAV (unmanned air vehicle) networking in near-space, such as low network performance, ineffective communication capability of UAV clusters and the difficulty to manage UAV while it is out of sight, this paper proposes a space-Earth-based integrated - "Calculate on the ground, Adjust in the space" thought to design a "clustering algorithm of UAV networking in near-space". The mathematical analysis and simulation results show that this algorithm can effectively improve the stability and flexibility of near-space clusters, economize the systematic expense, guarantee the movable networking ability of nodes in the space by reducing the calculation of nodes, and realize the clustering and networking of nodes in near-space environment the ability of which is limited.
Keywords :
aerospace control; mobile robots; remotely operated vehicles; statistical analysis; UAV networking; clustering algorithm; near-space environment; unmanned air vehicle; Automotive engineering; Clustering algorithms; Design engineering; Engineering management; Land vehicles; Road vehicles; Satellite ground stations; Space technology; Space vehicles; Unmanned aerial vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Antennas, Propagation and EM Theory, 2008. ISAPE 2008. 8th International Symposium on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-2192-3
Electronic_ISBN :
978-1-4244-2193-0
Type :
conf
DOI :
10.1109/ISAPE.2008.4735528
Filename :
4735528
Link To Document :
بازگشت