Optimizing Navigation Satellite Enhancement Information Distribution Network Based on X10 and MPI
To meet large-scale and time-sensitive needs of navigation Satellite enhance information distribution network in Global Position System(GPS)/Beidou and other systems , use small-world network model of complex network to study the topology. Small-world model has a large clustering coefficient and smaller average shortest path length so it can meet performance requirements better. Use Python language to product WS model, and simulate the important parameter-the average shortest path length. Use Dijkstra parallel algorithm and sparse matrix storage method to simulate under the use of X10 parallel language. Analyze the relationship between average shortest path length and random reconnection probability. Additionally, simulate in parallel MPI library and compare the two.
J. X. Liu et al., "Optimizing Navigation Satellite Enhancement Information Distribution Network Based on X10 and MPI", Applied Mechanics and Materials, Vols. 58-60, pp. 2177-2182, 2011