Abstract
Modern satellites deployed in low Earth orbit (LEO) accommodate processing payloads that can be exploited for edge computing. Furthermore, by implementing inter-satellite links, the LEO satellites in a constellation can route the data end-to-end (E2E). These capabilities can be exploited to greatly improve the current store-and-forward approaches in Earth surveillance systems. However, they give rise to an NP-hard problem of joint communication and edge computing resource management (RM). In this paper, we propose an algorithm that allows the satellites to select between computing the tasks at the edge or at a cloud server and to allocate an adequate power for communication. The overall objective is to minimize the energy consumption at the satellites while fulfilling specific service E2E latency constraints for the computing tasks. Experimental results show that our algorithm achieves energy savings of up to 18% when compared to the selected benchmarks with either 1) fixed edge computing decisions or 2) maximum power allocation.
| Original language | English |
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| Title of host publication | 2022 IEEE International Conference on Communications Workshops, ICC Workshops 2022 |
| Number of pages | 6 |
| Publisher | IEEE Communications Society |
| Publication date | 11 Jul 2022 |
| Pages | 556-561 |
| ISBN (Print) | 978-1-6654-2672-5 |
| ISBN (Electronic) | 978-1-6654-2671-8 |
| DOIs | |
| Publication status | Published - 11 Jul 2022 |
| Event | 2022 IEEE International Conference on Communications Workshops, ICC Workshops 2022 - Seoul, Korea, Republic of Duration: 16 May 2022 → 20 May 2022 |
Conference
| Conference | 2022 IEEE International Conference on Communications Workshops, ICC Workshops 2022 |
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| Country/Territory | Korea, Republic of |
| City | Seoul |
| Period | 16/05/2022 → 20/05/2022 |
| Series | 2022 IEEE International Conference on Communications Workshops, ICC Workshops 2022 |
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Bibliographical note
Funding Information:Part of the research has been supported by the project SatNEx-V, co-funded by the European Space Agency (ESA). This work has also received funding by the Spanish ministry of science and innovation under project IRENE (PID2020-115323RB-C31 / AEI / 10.13039/501100011033) and grant from the Spanish ministry of economic affairs and digital transformation and of the European union – NextGenerationEU [UNICO-5G I+D/AROMA3D-Space (TSI-063000-2021-70).
Funding Information:
This work has been performed under a programme of and funded by the European Space Agency. The view expressed herein can in no way be taken to reflect the official opinion of the European Space Agency.
Publisher Copyright:
© 2022 IEEE.