A co-orbiting multi-satellite edge computing offload method for LEO constellation networks considering mission request energy consumption

Yunjie Xiao; Qing Shen; Jin Xing

doi:10.1117/12.2681582

1 June 2023 A co-orbiting multi-satellite edge computing offload method for LEO constellation networks considering mission request energy consumption

Yunjie Xiao, Qing Shen, Jin Xing

Author Affiliations +

Proceedings Volume 12718, International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2023); 127180A (2023) https://doi.org/10.1117/12.2681582
Event: International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2023), 2023, Nanjing, China

Abstract

In this paper, we propose an offloading method for edge computing that takes into account the energy consumption of task requests, constructs and analyzes a co-tracked multi-star structure, calculates the individual task delay and builds a multi-layer edge projection pursuit (MLEPP) model to calculate the optimal offloading location. The experimental results show that this method has lower average offloading delay and higher offloading efficiency.

Citation Download Citation

Yunjie Xiao, Qing Shen, and Jin Xing "A co-orbiting multi-satellite edge computing offload method for LEO constellation networks considering mission request energy consumption", Proc. SPIE 12718, International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2023), 127180A (1 June 2023); https://doi.org/10.1117/12.2681582

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