Research on data transmission and survivability technology of the GEO/LEO satellite network

被引：4
|
作者：
Liu L. [1 ]
Wu D. [1 ]
Lang X. [1 ]
Qi X. [2 ]
机构：
[1] School of Computer Science and Technology, Xidian Univ., Xi'an
[2] School of Mathematics and Statistics, Xidian Univ., Xi'an
来源：
Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University | 2018年 / 45卷 / 01期
关键词：
Data transmission; Network simulation; Performance analysis; Satellite network model; Survivability technology;
D O I：
10.3969/j.issn.1001-2400.2018.01.001
中图分类号：
学科分类号：
摘要：
Aiming at the problem that Low Earth Orbit satellites have a low real-time performance in transmitting data to the ground, a data transmission and survivability technology based on the double-layer satellite network is proposed. In the method, the Geosynchronous Earth Orbit satellite network is used as the communication backbone network, which is responsible for the relaying and forwarding of the data in the satellite network. The low-earth satellite layer is responsible for data collection and auxiliary routing. Combining the advantages of Geosynchronous Earth Orbit and Low Earth Orbit satellites can realize the real-time transmission of Low Earth Orbit satellite data. The multi-path transmission strategy improves the survivability of the satellite network. The performance of the proposed method is analyzed in terms of throughput, transmission delay, delay jitter and packet loss rate. Under the attack environment, the data delivery capability of the network is studied. The data transmission method based on the multi-layer satellite can solve the single-layer low-earth satellite network in data transmission, and satisfy the requirement of multi-service real-time transmission. © 2018, The Editorial Board of Journal of Xidian University. All right reserved.
引用
收藏
页码：1 / 5and54
页数：553
相关论文
共 7 条
  • [1] Zhang G.X., Zhang W., Zhang H., Et al., A Novel Proposal of Architecture and Network Model for Space Communication Networks, Proceedings of the IAF 65th International Astronautical Congress, pp. 1-7, (2014)
  • [2] Zhang X.M., Zhang Y., Yan F., Et al., Interference-based Topology Control Algorithm for Delay-constrained Mobile Ad Hoc Networks, IEEE Transactions on Mobile Computing, 14, 4, pp. 742-754, (2015)
  • [3] Hu J., Zhao Z., Maximizing System Benefits and Fast Convergence Relay Selection Algorithms in Multi-source Multi-relay Networks, Journal of Xidian University, 40, 3, pp. 212-220, (2013)
  • [4] Wu Y.P., Yang Z.H., Zhang Q.Y., A Novel DTN Routing Algorithm in the GEO Relaying Satellite Network, Proceedings of the 11th International Conference on Mobile Ad-hoc and Sensor Networks, pp. 264-269, (2015)
  • [5] Feng X.B., Yang M.C., Guo Q., A Novel Distributed Routing Algorithm Based on Data-driven in GEO/LEO Hybrid Satellite Network, Proceedings of the 2015 International Conference on Wireless Communications and Signal Processing, (2015)
  • [6] Liang J., Zhang J.W., Xiao N., Research and Simulation on an Autonomous Routing Algorithm for GEO-LEO Satellite Networks, Proceedings of the 4th International Conference on Intelligent Computation Technology and Automation, pp. 657-660, (2011)
  • [7] Li H., Yang G., Wang W., Routing Algorithm for Deep Space Networks with a Maximum Throughput, Journal of Xidian University, 39, 1, pp. 92-97, (2012)
1