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.
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