Semantic and goal-oriented edge computing for satellite Earth Observation

Autor:	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
Rok vydání:	2024
Předmět:	Computer Science - Networking and Internet Architecture
Druh dokumentu:	Working Paper
Popis:	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. Comment: Submitted for publication to IEEE Communications Magazine
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2408.15639 Zobrazit plný text záznamu View this record from Arxiv