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Distributed Routing Strategy Based on Machine Learning for LEO Satellite Network
Joint Authors
Liu, Xin
Guo, Qing
Na, Zhenyu
Pan, Zheng
Deng, Zhian
Gao, Zihe
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-06-14
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
As the indispensable supplement of terrestrial communications, Low Earth Orbit (LEO) satellite network is the crucial part in future space-terrestrial integrated networks because of its unique advantages.
However, the effective and reliable routing for LEO satellite network is an intractable task due to time-varying topology, frequent link handover, and imbalanced communication load.
An Extreme Learning Machine (ELM) based distributed routing (ELMDR) strategy was put forward in this paper.
Considering the traffic distribution density on the surface of the earth, ELMDR strategy makes routing decision based on traffic prediction.
For traffic prediction, ELM, which is a fast and efficient machine learning algorithm, is adopted to forecast the traffic at satellite node.
For the routing decision, mobile agents (MAs) are introduced to simultaneously and independently search for LEO satellite network and determine routing information.
Simulation results demonstrate that, in comparison to the conventional Ant Colony Optimization (ACO) algorithm, ELMDR not only sufficiently uses underutilized link, but also reduces delay.
American Psychological Association (APA)
Na, Zhenyu& Pan, Zheng& Liu, Xin& Deng, Zhian& Gao, Zihe& Guo, Qing. 2018. Distributed Routing Strategy Based on Machine Learning for LEO Satellite Network. Wireless Communications and Mobile Computing،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1215940
Modern Language Association (MLA)
Na, Zhenyu…[et al.]. Distributed Routing Strategy Based on Machine Learning for LEO Satellite Network. Wireless Communications and Mobile Computing No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1215940
American Medical Association (AMA)
Na, Zhenyu& Pan, Zheng& Liu, Xin& Deng, Zhian& Gao, Zihe& Guo, Qing. Distributed Routing Strategy Based on Machine Learning for LEO Satellite Network. Wireless Communications and Mobile Computing. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1215940
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1215940