survey

A Survey of Next-generation Computing Technologies in Space-air-ground Integrated Networks

Authors:

Atsushi Tagami,

Shangguang Wang,

Jingling YuanAuthors Info & Claims

ACM Computing Surveys, Volume 56, Issue 1

Article No.: 23, Pages 1 - 40

https://doi.org/10.1145/3606018

Published: 28 August 2023 Publication History

Abstract

Space-air-ground integrated networks (SAGINs) are key elements for facilitating high-speed seamless connectivity to the devices/users in infrastructure-less environments, where the traditional terrestrial networks are critically infeasible or uneconomical to be fully deployed. This article comprehensively surveys the advanced computing technologies that support the utilization of SAGINs for infrastructure-less environments. The advanced computing technologies refer to the emerging computing techniques, tools, and the processes that can be utilized to support SAGINs in handling the increasing computing tasks. The main contents include: (1) background of SAGINs, (2) typical use cases of SAGINs in infrastructure-less environments, (3) advanced computing technologies to assist SAGINs to meet the requirements of various services in infrastructure-less environments, (4) the related practical initiatives, and (5) the open research challenges and the future research directions.

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Cited By

Wang XMa J(2025)Cloud-Network-End Collaborative Security for Wireless Networks: Architecture, Mechanisms, and ApplicationsTsinghua Science and Technology10.26599/TST.2023.901015830:1(18-33)Online publication date: Feb-2025
https://doi.org/10.26599/TST.2023.9010158
Nie WChen YWang YWang PLi MNing L(2024)Routing networking technology based on improved ant colony algorithm in space-air-ground integrated networkEURASIP Journal on Advances in Signal Processing10.1186/s13634-024-01131-52024:1Online publication date: 13-Mar-2024
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Ammar SPong Lau CShihada B(2024)An In-Depth Survey on Virtualization Technologies in 6G Integrated Terrestrial and Non-Terrestrial NetworksIEEE Open Journal of the Communications Society10.1109/OJCOMS.2024.34146225(3690-3734)Online publication date: 2024
https://doi.org/10.1109/OJCOMS.2024.3414622
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Index Terms

A Survey of Next-generation Computing Technologies in Space-air-ground Integrated Networks
1. Computing methodologies
  1. Artificial intelligence
  2. Distributed computing methodologies
2. Networks
  1. Network algorithms
  2. Network architectures

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cover image ACM Computing Surveys

ACM Computing Surveys Volume 56, Issue 1

January 2024

918 pages

EISSN:1557-7341

DOI:10.1145/3613490

Editor:
Albert Zomaya
University of Sydney, Australia

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Publication History

Published: 28 August 2023

Online AM: 24 June 2023

Accepted: 22 June 2023

Revised: 15 May 2023

Received: 22 November 2022

Published in CSUR Volume 56, Issue 1

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Cited By

Wang XMa J(2025)Cloud-Network-End Collaborative Security for Wireless Networks: Architecture, Mechanisms, and ApplicationsTsinghua Science and Technology10.26599/TST.2023.901015830:1(18-33)Online publication date: Feb-2025
https://doi.org/10.26599/TST.2023.9010158
Nie WChen YWang YWang PLi MNing L(2024)Routing networking technology based on improved ant colony algorithm in space-air-ground integrated networkEURASIP Journal on Advances in Signal Processing10.1186/s13634-024-01131-52024:1Online publication date: 13-Mar-2024
https://doi.org/10.1186/s13634-024-01131-5
Ammar SPong Lau CShihada B(2024)An In-Depth Survey on Virtualization Technologies in 6G Integrated Terrestrial and Non-Terrestrial NetworksIEEE Open Journal of the Communications Society10.1109/OJCOMS.2024.34146225(3690-3734)Online publication date: 2024
https://doi.org/10.1109/OJCOMS.2024.3414622
Zhou ZZhuang YLi HHuang SYang SGuo PZhong LYuan ZXu C(2024)MR-FFL: A Stratified Community-Based Mutual Reliability Framework for Fairness-Aware Federated Learning in Heterogeneous UAV NetworksIEEE Internet of Things Journal10.1109/JIOT.2024.335777911:12(20995-21009)Online publication date: 15-Jun-2024
https://doi.org/10.1109/JIOT.2024.3357779
Zhai ZZeng LOuyang TYu SHuang QChen X(2024)SECO: Multi-Satellite Edge Computing Enabled Wide-Area and Real-Time Earth Observation MissionsIEEE INFOCOM 2024 - IEEE Conference on Computer Communications10.1109/INFOCOM52122.2024.10621270(2548-2557)Online publication date: 20-May-2024
https://doi.org/10.1109/INFOCOM52122.2024.10621270
Choi HLee HRyoo DKim HKo HPack S(2024)In-Orbit Aggregator-Empowered Federated Learning Framework for Satellite and Terrestrial-Integrated Networks2024 International Conference on Information Networking (ICOIN)10.1109/ICOIN59985.2024.10572142(168-172)Online publication date: 17-Jan-2024
https://doi.org/10.1109/ICOIN59985.2024.10572142
Zheng QShen ZJin JLei ZCheung TXiang W(2024)UAV-assisted Intelligent IoT Service Provisioning in Infrastructure-less Environments2024 IEEE Annual Congress on Artificial Intelligence of Things (AIoT)10.1109/AIoT63253.2024.00043(176-181)Online publication date: 24-Jul-2024
https://doi.org/10.1109/AIoT63253.2024.00043
Kagai FBranch PBut JAllen RRice M(2024)Rapidly Deployable Satellite-Based Emergency Communications InfrastructureIEEE Access10.1109/ACCESS.2024.346551212(139368-139410)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3465512
Jiang WHan HZhang YMu J(2024)Federated split learning for sequential data in satellite–terrestrial integrated networksInformation Fusion10.1016/j.inffus.2023.102141103:COnline publication date: 4-Mar-2024
https://dl.acm.org/doi/10.1016/j.inffus.2023.102141
Jiang S(2024)Best-Effort Networking SystemsAdvances in Information and Communication10.1007/978-3-031-53963-3_9(94-109)Online publication date: 17-Mar-2024
https://doi.org/10.1007/978-3-031-53963-3_9

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