JOURNAL ARTICLE

Intelligent Space-Air-Ground Collaborative Computing Networks

Shahnila RahimLimei Peng

Year: 2023 Journal:   IEEE Internet of Things Magazine Vol: 6 (2)Pages: 76-80   Publisher: Institute of Electrical and Electronics Engineers

Abstract

The space-air-ground collaborative computing networks (SAGCCN) are promising in providing full connectivity for 5G-Advanced and 6G-driven IoT applications. In particular, the SAGCCN can flexibly integrate the communication and computation resources from terrestrial to the sky, thus providing a viable solution for seamless communication and computation services for massive IoT applications. This article discusses the intelligent technologies required to enable full intelligence in data collection and offloading in SAGCCN. In particular, several machine learning-based trajectory planning scenarios are discussed in detail. Finally, this article explores the challenges and future research opportunities in the area of aerial computing.

Keywords:
Computer science Computation Distributed computing Space (punctuation) Urban computing Data science Human–computer interaction

Metrics

11
Cited By
5.72
FWCI (Field Weighted Citation Impact)
14
Refs
0.95
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

UAV Applications and Optimization
Physical Sciences →  Engineering →  Aerospace Engineering
Satellite Communication Systems
Physical Sciences →  Engineering →  Aerospace Engineering
Advanced Wireless Communication Technologies
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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