Collaborative Computing Services at Ground, Air, and Space: An Optimization Approach-Reference-Cited by-同舟云学术

Collaborative Computing Services at Ground, Air, and Space: An Optimization Approach

Published:2024-01 Issue:1 Volume:73 Page:1491-1496
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

Tun Yan Kyaw¹^ORCID,Kim Ki Tae²^ORCID,Zou Luyao²^ORCID,Han Zhu³^ORCID,Dán György¹^ORCID,Hong Choong Seon²^ORCID

Affiliation:

1. Division of Network and Systems Engineering, School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden

2. Department of Computer Science and Engineering, Kyung Hee University, Yongin-si, Gyeonggi-do, South Korea

3. Electrical and Computer Engineering Department, University of Houston, Houston, TX, USA

Funder

National Research Foundation of Korea

Institute of Information and Communications Technology Planning and Evaluation

Kyung Hee University

Evolvable Deep Learning Model Generation Platform for Edge Computing

Ministry of Science and ICT, South Korea

Vetenskapsrådet

Swedish Foundation for Strategic Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/25/10400535/10216375.pdf?arnumber=10216375

Reference18 articles.

1. Space-Air-Ground Integrated Network: A Survey

2. Dynamic User Association for Resilient Backhauling in Satellite–Terrestrial Integrated Networks

3. Serving at the Edge: A Scalable IoT Architecture Based on Transparent Computing

4. A data dissemination scheme based on clustering and probabilistic broadcasting in VANETs

5. Joint UAV Position Optimization and Resource Scheduling in Space-Air-Ground Integrated Networks With Mixed Cloud-Edge Computing

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