天地一体化信息网络2024，Vol.5Issue(2)：70-76,7.DOI:10.11959/j.issn.2096-8930.2024018
基于遗传算法的低轨卫星物联网星座任务规划问题
Mission Planning for LEO Satellite IoT Constellation Based on Genetic Algorithm
李艳红 1吕强 1梁军民 1封世刚 1苗君厚1
作者信息
- 1. 北京国电高科科技有限公司,北京 100094
- 折叠
摘要
Abstract
A mission planning algorithm based on genetic algorithm was designed for LEO satellite IoT constellation with no inter-satellite links,aimed to achieve real-time data communication through multiple ground stations while maximized the resource allocation of satellites and ground stations.Firstly,the objective function to maximized the service duration of satellites in orbit and the constraints on clashed tasks were designed,constructed the mission planning model for LEO satellite IoT constellation.Then,based on genetic algorithm,clashed tasks and early stopping mechanism were introduced,and the mission planning algorithm for the LEO satellite IoT constellation was de-signed.On this basis,experiments were conducted use a constellation of 18 LEO communication satellites without inter-satellite links and 4 ground stations.In addition,in order to verified the performance of the algorithm,first come first service(FCFS)algorithm was also used for mission planning of the experimental data.The experiments compared with FCFS showed that the designed mission planning algorithm for LEO satellite IoT constellation could significantly improve the scheduling capacity of ground stations for receiving data of communica-tion satellites,addressed the contradiction of insufficient ground stations with a large number of satellites.关键词
遗传算法/低轨卫星物联网星座/任务规划/在轨服务时长/冲突弧段Key words
genetic algorithm/LEO satellite IoT constellation/mission planning/the service duration of satellites in orbit/clashed tasks分类
信息技术与安全科学引用本文复制引用
李艳红,吕强,梁军民,封世刚,苗君厚..基于遗传算法的低轨卫星物联网星座任务规划问题[J].天地一体化信息网络,2024,5(2):70-76,7.
