A nanosatellite task scheduling framework to improve mission value using fuzzy constraints

作者：

Highlights：

• An optimal task scheduling strategy for small satellites considering the battery.

• Fuzzy constraints are used to model the battery usage.

• The scheduling algorithm generates an optimal energy effective scheduling plan.

摘要

•An optimal task scheduling strategy for small satellites considering the battery.•Fuzzy constraints are used to model the battery usage.•The scheduling algorithm generates an optimal energy effective scheduling plan.

论文关键词：Integer programming,Optimization,Battery model,CubeSat,Quality of service

论文评审过程：Received 11 November 2020, Revised 29 January 2021, Accepted 22 February 2021, Available online 4 March 2021, Version of Record 25 March 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.114784