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An Agent-Based Modelling Simulation Approach to Calculate Processing Delay of GEO Satellite Payload
Abstract:The global coverage of broadband multimedia and internet-based services in terrestrial-satellite networks demand particular interests for satellite providers in order to enhance services with low latencies and high signal quality to diverse users. In particular, the delay of on-board processing is an inherent source of latency in a satellite communication that sometimes is discarded for the end-to-end delay of the satellite link. The frame work for this paper includes modelling of an on-orbit satellite payload using an agent model that can reproduce the properties of processing delays. In essence, a comparison of different spatial interpolation methods is carried out to evaluate physical data obtained by an GEO satellite in order to define a discretization function for determining that delay. Furthermore, the performance of the proposed agent and the development of a delay discretization function are together validated by simulating an hybrid satellite and terrestrial network. Simulation results show high accuracy according to the characteristics of initial data points of processing delay for Ku bands.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1131453Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 489
 J. Wang, Z. Jian, S. Sun Lijuan, H. Chong, and X. Fu, “Link stability based comprehensive weighted strategy for inter-satellite link assignment,” in 7th International Symposium on Parallel Architectures, Algorithms and Programming (PAAP), Dec 2015, pp. 149–154.
 N. Kuhn, E. Lochin, J. Lacan, R. Boreli, and L. Clarac, “On the impact of link layer retransmission schemes on tcp over 4g satellite links.” Int. J. Satellite Communication Network., vol. 33, no. 1, pp. 19–42, Feb 2015.
 M. Casoni, C. Grazia, M. Klapez, and N. Patriciello, “Reducing latency in satellite emergency networks through a cooperative transmission control,” in Global Communications Conference (GLOBECOM), 2014 IEEE, Dec 2014, pp. 2850–2855.
 R. Goonatilake and R. Bachnak, “Modeling latency in a network distribution,” Network and Communication Technologies., vol. 1, no. 2, Aug 2012.
 J. Kurose and K. Ross, Computer networking: a top-down approach., 6th ed. New Jersey,USA: Pearson, 2013.
 I. Tetko, D. Livingstone, and A. Luik, “Neural network studies, 1. comparison of overfitting and overtraining,” Journal of Chemical Information and Computer Sciences, vol. 35, no. 5, pp. 826–833, 1995. (Online). Available: http://dx.doi.org/10.1021/ci00027a006
 C. M. Group, “The cmu monarch projects wireless and mobility extensions to ns,” August 1999, available from ftp://ftp.monarch.cs.cmu.edu/pub/monarch/wireless-sim/ns-cmu.ps.
 U. Berkeley and U. ISI, “The network simulator ns-2,” 1998, available from http://www.isi.edu/nsnam/ns.
 K. Fall and K. Varadhan, “The ns manual(formely ns notes and documentations),” april 2002, available from http://www.isi.edu/nsnam/ns/ns-documentations.html.
 C. Marcondes, A. Persson, M. Sanadidi, M. Gerla, R. Firrincieli, D. Beering, and G. Romaniak, “Tcp in mixed internet and geo-satellite environments: experiences and results,” in 2nd International Conference on Testbeds and Research Infrastructures for the Development of Networks and Communities, (TRIDENTCOM). IEEE, 2006.
 P. LEcuyer, R. Simard, E. Jack Chen, and W. Kelton, “An object-oriented randomnumber package with many long streams and substreams,” Operation Research, vol. 50, no. 6, pp. 1073–1075, 2002.