Energy Optimization in Multisatellite-Enabled Edge Computing Systems-Reference-Cited by-同舟云学术

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Energy Optimization in Multisatellite-Enabled Edge Computing Systems

Published:2024-06-15 Issue:12 Volume:11 Page:21715-21726
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Xi Shiyu¹,Shang Bodong¹^ORCID,Zhang Hongxia²^ORCID,Ma Junchao³,Fan Pingzhi⁴^ORCID

Affiliation:

1. Eastern Institute for Advanced Study, Eastern Institute of Technology, Ningbo, China

2. Qingdao Institute of Software, China University of Petroleum (East China), Qingdao, China

3. School of Electrical and Information Engineering, Jiangsu University of Technology, Changzhou, China

4. Key Laboratory of Information Coding and Transmission, Southwest Jiaotong University, Chengdu, China

Funder

2023 Yongriver Scientific and Technological Innovation Project

Changzhou City’s 2023 Leading Innovative Talent Introduction and Cultivation Project

NSFC

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6488907/10551641/10478101.pdf?arnumber=10478101

Reference33 articles.

1. Computing over Space-Air-Ground Integrated Networks: Challenges and Opportunities

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

3. Joint Power Control and Task Offloading in Collaborative Edge–Cloud Computing Networks

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

5. Energy-Constrained Computation Offloading in Space-Air-Ground Integrated Networks Using Distributionally Robust Optimization

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