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Please use this identifier to cite or link to this item: http://hdl.handle.net/2123/14560
Title: Distributed CubeSats Network Routing Optimization using NSGA-II
Authors: Wu, Jun Jie
Keywords: Distributed CubeSat networks
communication routing problem
NSGA-II
multi-objectives optimization
quality of service (QoS)
Issue Date: 30-Sep-2015
Publisher: University of Sydney
Faculty of Engineering and Information Technologies
School of Aerospace, Mechanical & Mechatronic Engineering
Abstract: Multi-objective optimization knows a fast growing interest for both academic researches and real-life problems. An important domain is the satellite routing problems. In this thesis, I designed network topologies using Matlab for two hundred of low earth orbit (LEO) CubeSats constellations. NSGA-II is a non-dominated sorting genetic algorithm which consists of multi-objective functions. NSGA-II algorithm starts with a random population. Each individual in population is considered as a chromosome. Three objective functions were considered in this paper: Hot count, Delay and Bandwidth. Final solutions were sorted by Pareto front method. I evaluated these network metrics using the Network Simulator (ns2).
Access Level: Access is restricted to staff and students of the University of Sydney . UniKey credentials are required. Non university access may be obtained by visiting the University of Sydney Library.
URI: http://hdl.handle.net/2123/14560
Rights and Permissions: The author retains copyright of this thesis. It may only be used for the purposes of research and study. It must not be used for any other purposes and may not be transmitted or shared with others without prior permission.
Type of Work: Masters Thesis
Type of Publication: Master of Philosophy M.Phil
Appears in Collections:Sydney Digital Theses (University of Sydney Access only)

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