Distributed CubeSats Network Routing Optimization using NSGA-II
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Type
ThesisThesis type
Masters by ResearchAuthor/s
Wu, Jun JieAbstract
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 ...
See moreMulti-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).
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See moreMulti-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).
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Date
2015-09-30Licence
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.Faculty/School
Faculty of Engineering and Information Technologies, School of Aerospace, Mechanical and Mechatronic EngineeringAwarding institution
The University of SydneyShare