@inproceedings{c6549eb7553a48f69e7c6b622c78f0e0,
title = "Task Allocation for Real-time Earth Observation Service with LEO Satellites",
abstract = "Traditional Earth observation (EO) services using satellites mainly observe relatively large-scale objects for applications with no or weak real-time requirements. The rapid development of Low-Earth-orbit (LEO) satellites opens new opportunities to provide EO services for a much wider range of applications by collecting the observation and communication capability of many LEO satellites. The challenge is how to select and coordinate the LEO satellites to accomplish the EO task subject to strong real-time constraints. In this work, we present a holistic solution that precisely models the observation service of a single LEO satellite and allocates the work of a periodic real-time EO task to a group of LEO satellites to meet the real-time requirements. Experiments were conducted to evaluate how the parameters of the LEO satellites and the ground stations impact the satisfiability of real-time requirements. The results provide valuable guidelines for designing LEO satellites and ground stations to provide real-time object observation services.",
keywords = "Earth observation, LEO satellites, real time",
author = "Mingsong Lv and Xuemei Peng and Wenjing Xie and Nan Guan",
note = "Funding Information: This work is partially supported by Research Grants Council of Hong Kong (GRF 11208522, 15206221) and Natural Science Foundation of China (61772123). Publisher Copyright: {\textcopyright} 2022 IEEE.; 43rd IEEE Real-Time Systems Symposium, RTSS 2022 ; Conference date: 05-12-2022 Through 08-12-2022",
year = "2022",
month = dec,
doi = "10.1109/RTSS55097.2022.00012",
language = "English",
series = "Proceedings - Real-Time Systems Symposium",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "14--26",
booktitle = "Proceeding - 43rd IEEE Real-Time Systems Symposium, RTSS 2022",
}