Intelligent UAV and LEO-Assisted Edge Computing Systems for Real-Time IoT Applications-Reference-Cited by-同舟云学术

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Intelligent UAV and LEO-Assisted Edge Computing Systems for Real-Time IoT Applications

Published:2024-01-28 Issue: Volume: Page:1-4
ISSN:
Container-title:2024 International Conference on Electronics, Information, and Communication (ICEIC)
language:
Short-container-title:

Author:

Jung Sooyeob¹,Ryu Joon Gyu¹,Jeong Seongah²,Kang Jinkyu³,Kang Joonhyuk⁴

Affiliation:

1. Satellite Comm. Infra Research Section, ETRI,Daejeon,South Korea

2. School of Electronics Engineering, Kyungpook National University,Daegu,South Korea

3. Myongji University,Department of Infor. & Comm. Engineering,Gyeonggi-do,South Korea

4. School of Electrical Engineering, KAIST,Daejeon,South Korea

Funder

Institute of Information & communications Technology Planning & Evaluation (IITP)

National Research Foundation of Korea (NRF)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10457047/10457087/10457132.pdf?arnumber=10457132

Reference6 articles.

1. Computation Offloading in LEO Satellite Networks With Hybrid Cloud and Edge Computing

2. Space/Aerial-Assisted Computing Offloading for IoT Applications: A Learning-Based Approach

3. Marine IoT Systems With Space–Air–Sea Integrated Networks: Hybrid LEO and UAV Edge Computing

4. Parallel and distributed methods for nonconvex optimization part I: Theory;Scutari;arXiv,2016

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