Resource Allocation on Low-Earth Orbit Edge Infrastructure: Taxonomy, Survey, and Research Challenges

Resource Allocation on Low-Earth Orbit Edge Infrastructure: Taxonomy, Survey, and Research Challenges

Low Earth Orbit (LEO) Edge Computing integrates space technology with Edge Computing to enhance connectivity and reduce latency, addressing critical limitations of terrestrial infrastructures. By leveraging LEO satellites, this paradigm enables global, low-latency data processing for applications su...

Full description

Saved in:
Bibliographic Details
Main Authors: Fabio Diniz Rossi, Paulo Silas Severo de Souza, Marcelo Caggiani Luizelli
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Edge computing
LEO edge
low-earth orbit satellites
resource allocation
satellite constellation
Online Access:https://ieeexplore.ieee.org/document/10909133/
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Low Earth Orbit (LEO) Edge Computing integrates space technology with Edge Computing to enhance connectivity and reduce latency, addressing critical limitations of terrestrial infrastructures. By leveraging LEO satellites, this paradigm enables global, low-latency data processing for applications such as remote sensing, Earth observation, and worldwide communications. However, it also presents challenges in resource allocation, thermal management, and space debris mitigation. This paper provides a comprehensive taxonomy and in-depth survey on resource allocation strategies in LEO Edge environments, identifying key challenges and future research directions.
ISSN:2169-3536

Similar Items