Research Article
Research of Improved Genetic Algorithm for Resource Allocation in Space-based Information Network
@INPROCEEDINGS{10.1007/978-3-030-69069-4_12, author={Wang Rui and Han Xiao-dong and An Wei-yu and Song Ke-zhen and Han Huan}, title={Research of Improved Genetic Algorithm for Resource Allocation in Space-based Information Network}, proceedings={Wireless and Satellite Systems. 11th EAI International Conference, WiSATS 2020, Nanjing, China, September 17-18, 2020, Proceedings, Part I}, proceedings_a={WISATS}, year={2021}, month={2}, keywords={Space-based information network Resource allocation Genetic algorithm Simulated annealing}, doi={10.1007/978-3-030-69069-4_12} }- Wang Rui
Han Xiao-dong
An Wei-yu
Song Ke-zhen
Han Huan
Year: 2021
Research of Improved Genetic Algorithm for Resource Allocation in Space-based Information Network
WISATS
Springer
DOI: 10.1007/978-3-030-69069-4_12
Abstract
Along with the expansion of space-based information network, the task cooperation and resource allocation of access nodes is important issues that need to be addressed in the context of multiple spacecraft access. For the problem of resource dynamic scheduling, based on the present situation and development trend of space-based information network construction, resource allocation on tasks is researched in this paper. Furthermore, network resource allocation model and method of resource dynamic allocation based on genetic algorithm are realized, comprehensively consider the consumption and profit of resources to meet the task demand. By establishing allocation model suitable for space-based network, and using simulated annealing process and adaptive method to design improved genetic algorithm, the advantages and disadvantages are analyzed and simulated. The simulation result indicated the algorithm has good result in improving effectiveness and timeliness of network resource scheduling.
