Ant colony optimisation for the routing problem in the constellation network with node satellite constraint

被引:11
|
作者
Li, Jing [1 ]
Ke, Liangjun [2 ]
Ye, Gangqiang [1 ]
Zhang, Tianjiao [3 ]
机构
[1] Xian Satellite Control Ctr, State Key Lab Astronaut Dynam, Xian 710043, Shaanxi, Peoples R China
[2] Xi An Jiao Tong Univ, State Key Lab Mfg Syst Engn, Xian 710049, Shaanxi, Peoples R China
[3] Xi An Jiao Tong Univ, Dept Elect & Engn, Xian 710043, Shaanxi, Peoples R China
关键词
satellite network; inter-satellite links; ISLs; routing; network management; node satellite; ALGORITHM;
D O I
10.1504/IJBIC.2017.087919
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In the field of satellite communication, there is a trend towards interconnecting satellites into a heterogeneous network. Inter-satellite links (ISLs) are used to transmit satellite management data, such as telemetry and telecommand data, as well as application data. The ground stations act as a management entity, which are connected with node satellites. This paper considers a routing problem with the aim of combining the satellite network with ground station management network to make integrated planning under the node satellite constraint. Based on the characteristic of the routing problem, ant colony optimisation is adopted to solve it. Two solution construction methods, i.e., the sequential method and concurrent method, are proposed. Experimental results on real data show that the concurrent ACO algorithm is better, and it can provide better data transmitting bandwidth of ISLs and save ground station management resources, which makes the algorithm suitable for real requirements.
引用
收藏
页码:267 / 274
页数:8
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