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Proceedings Paper

A new routing method based on ant colony algorithm for LEO satellite communication networks
Author(s): Ying Wang; Xiulin Hu
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Paper Abstract

LEO(Low Earth Orbit) satellite network is more suitable for multimedia communication than GEO(Geosynchronous Earth Orbit) and MEO(Medium Earth Orbit) satellite network because of short propagation delay. Routing computation in communication network with several constraint factors has been proved to be a NP-C problem. Ant colony algorithm as a bionics algorithm has good performances on solving NP-C problem. Existing research about ant colony algorithm mainly concentrates on Ad hoc network, and application in satellite network is not completely developed. According to the characteristics of LEO satellite network, this paper presents a new routing method based on ant colony algorithm with forecast strategy and elitist strategy. Generally each satellite establishes two intra-ISLs with forward and backward neighbors in the same orbit, and two inter-ISLs with left and right neighbors in the adjacent orbits. Thus the topology of satellite network consists of many grids. According to the specific topology, forecast strategy is introduced to reduce redundant information. On the other hand, pheromone is updated continuously to ensure elitist path chosen. Assuming a reference satellite network model is given, the simulation results show that the improved algorithm converges more quickly than basic ant colony algorithm.

Paper Details

Date Published: 10 November 2007
PDF: 5 pages
Proc. SPIE 6795, Second International Conference on Space Information Technology, 679504 (10 November 2007); doi: 10.1117/12.772828
Show Author Affiliations
Ying Wang, Huazhong Univ. of Science and Technology (China)
Xiulin Hu, Huazhong Univ. of Science and Technology (China)

Published in SPIE Proceedings Vol. 6795:
Second International Conference on Space Information Technology
Cheng Wang; Shan Zhong; Jiaolong Wei, Editor(s)

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