Semantic and goal-oriented edge computing for satellite Earth Observation
Fuente:
arXiv
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| Autori principali: | , , , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| Soggetti: | |
| Accesso online: | |
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| _version_ | 1866914927372926976 |
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| author | Soret, Beatriz Leyva-Mayorga, Israel Mercado-Martínez, Antonio M. Moretti, Marco Jurado-Navas, Antonio Martinez-Gost, Marc de Miguel, Celia Sánchez Salas-Prendes, Ainoa Popovski, Petar |
| author_facet | Soret, Beatriz Leyva-Mayorga, Israel Mercado-Martínez, Antonio M. Moretti, Marco Jurado-Navas, Antonio Martinez-Gost, Marc de Miguel, Celia Sánchez Salas-Prendes, Ainoa Popovski, Petar |
| contents | The integration of Semantic Communications (SemCom) and edge computing in space networks enables the optimal allocation of the scarce energy, computing, and communication resources for data-intensive applications. We use Earth Observation (EO) as a canonical functionality of satellites and review its main characteristics and challenges. We identify the potential of the space segment, represented by a low Earth orbit (LEO) satellite constellation, to serve as an edge layer for distributed intelligence. Based on that, propose a system architecture that supports semantic and goal-oriented applications for image reconstruction and object detection and localization. The simulation results show the intricate trade-offs among energy, time, and task-performance using a real dataset and State-of-the-Art (SoA) processing and communication parameters. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_15639 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Semantic and goal-oriented edge computing for satellite Earth Observation Soret, Beatriz Leyva-Mayorga, Israel Mercado-Martínez, Antonio M. Moretti, Marco Jurado-Navas, Antonio Martinez-Gost, Marc de Miguel, Celia Sánchez Salas-Prendes, Ainoa Popovski, Petar Networking and Internet Architecture The integration of Semantic Communications (SemCom) and edge computing in space networks enables the optimal allocation of the scarce energy, computing, and communication resources for data-intensive applications. We use Earth Observation (EO) as a canonical functionality of satellites and review its main characteristics and challenges. We identify the potential of the space segment, represented by a low Earth orbit (LEO) satellite constellation, to serve as an edge layer for distributed intelligence. Based on that, propose a system architecture that supports semantic and goal-oriented applications for image reconstruction and object detection and localization. The simulation results show the intricate trade-offs among energy, time, and task-performance using a real dataset and State-of-the-Art (SoA) processing and communication parameters. |
| title | Semantic and goal-oriented edge computing for satellite Earth Observation |
| topic | Networking and Internet Architecture |
| url | https://arxiv.org/abs/2408.15639 |