Computer Science > Networking and Internet Architecture
arXiv:2408.15639 (cs)
[Submitted on 28 Aug 2024]
Title:Semantic and goal-oriented edge computing for satellite Earth Observation
Authors:Beatriz Soret,Israel Leyva-Mayorga,Antonio M. Mercado-Martínez,Marco Moretti,Antonio Jurado-Navas,Marc Martinez-Gost,Celia Sánchez de Miguel,Ainoa Salas-Prendes,Petar Popovski
View a PDF of the paper titled Semantic and goal-oriented edge computing for satellite Earth Observation, by Beatriz Soret and 8 other authors
View PDFHTML (experimental)Abstract: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.
Comments: | Submitted for publication to IEEE Communications Magazine |
Subjects: | Networking and Internet Architecture (cs.NI) |
Cite as: | arXiv:2408.15639 [cs.NI] |
(orarXiv:2408.15639v1 [cs.NI] for this version) | |
https://doi.org/10.48550/arXiv.2408.15639 arXiv-issued DOI via DataCite |
Submission history
From: Israel Leyva-Mayorga [view email][v1] Wed, 28 Aug 2024 08:50:00 UTC (5,161 KB)
Full-text links:
Access Paper:
- View PDF
- HTML (experimental)
- TeX Source
- Other Formats
View a PDF of the paper titled Semantic and goal-oriented edge computing for satellite Earth Observation, by Beatriz Soret and 8 other authors
References & Citations
Bibliographic and Citation Tools
Bibliographic Explorer(What is the Explorer?)
Connected Papers(What is Connected Papers?)
Litmaps(What is Litmaps?)
scite Smart Citations(What are Smart Citations?)
Code, Data and Media Associated with this Article
alphaXiv(What is alphaXiv?)
CatalyzeX Code Finder for Papers(What is CatalyzeX?)
DagsHub(What is DagsHub?)
Gotit.pub(What is GotitPub?)
Hugging Face(What is Huggingface?)
Papers with Code(What is Papers with Code?)
ScienceCast(What is ScienceCast?)
Demos
Recommenders and Search Tools
Influence Flower(What are Influence Flowers?)
CORE Recommender(What is CORE?)
arXivLabs: experimental projects with community collaborators
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.
Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.
Have an idea for a project that will add value for arXiv's community?Learn more about arXivLabs.