Title :
Redundant and Relay Assistant Scheduling of Small Satellites
Author :
Lei Xia ; Nenghai Yu
Author_Institution :
Inf. Sci. & Technol. Dept., Univ. of Sci. & Technol., Hefei, China
Abstract :
The satellite range scheduling problem between small satellites and academic ground station network is researched in this paper, by analysing the feature of the network scenario, model the SRS problem and countering the low-cost, non-profit and increased conflict contact windows characteristics of academic ground network, define the fair function and give proof that the theory is reasonable, using genetic algorithm to find an optimal solution. By analysing the relay satellite and its possibility to support the assistant communication, extract the redundant fraction time due to the contact windows confliction to augment the final optimization objective value. Computational examples show the validity of the approach.
Keywords :
genetic algorithms; satellite communication; scheduling; SRS problem; academic ground network; academic ground station network; assistant communication; autonomous satellite communication system; contact windows; contact windows characteristics; genetic algorithm; multi-objective; network scenario; optimal solution; optimization objective value; redundant assistant scheduling; redundant fraction time; relay assistant scheduling; relay satellite; satellite range scheduling problem; Equations; Genetic algorithms; Mathematical model; Optimal scheduling; Relays; Satellites; academic ground station; fair; genetic algorithm; relay assistant; satellite range scheduling;
Conference_Titel :
Advanced Information Networking and Applications (AINA), 2014 IEEE 28th International Conference on
Conference_Location :
Victoria, BC
Print_ISBN :
978-1-4799-3629-8
DOI :
10.1109/AINA.2014.124