Aerial Computing: A New Computing Paradigm, Applications, and Challenges-Reference-Cited by-同舟云学术

Aerial Computing: A New Computing Paradigm, Applications, and Challenges

Published:2022-06-01 Issue:11 Volume:9 Page:8339-8363
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Pham Quoc-Viet¹^ORCID,Ruby Rukhsana²^ORCID,Fang Fang³^ORCID,Nguyen Dinh C.⁴^ORCID,Yang Zhaohui⁵^ORCID,Le Mai⁶^ORCID,Ding Zhiguo⁷^ORCID,Hwang Won-Joo⁸^ORCID

Affiliation:

1. Korean Southeast Center for the 4th Industrial Revolution Leader Education, Pusan National University, Busan, South Korea

2. College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China

3. Department of Electrical and Computer Engineering and the Department of Computer Science, Western University, London, ON, Canada

4. School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA

5. Department of Engineering, Center for Telecommunications Research, King’s College London, London, U.K

6. Department of Information Convergence Engineering, Pusan National University, Busan, South Korea

7. School of Electrical and Electronics Engineering, The University of Manchester, Manchester, U.K

8. Department of Biomedical Convergence Engineering, Pusan National University, Yangsan, South Korea

Funder

National Research Foundation of Korea (NRF) Grant

Korean Government

BK21 Four, Korean Southeast Center for the 4th Industrial Revolution Leader Education

Institute of Information & Communications Technology Planning & Evaluation (IITP) Grant

Korea Government

Artificial Intelligence Convergence Research Center [Pusan National University]

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/9780059/09738797.pdf?arnumber=9738797

Reference167 articles.

1. Minimization of Offloading Delay for Two-Tier UAV with Mobile Edge Computing

2. Wireless-Powered Edge Computing With Cooperative UAV: Task, Time Scheduling and Trajectory Design

3. UAV Relay-Assisted Emergency Communications in IoT Networks: Resource Allocation and Trajectory Optimization

Cited by 48 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Comprehensive survey on reinforcement learning-based task offloading techniques in aerial edge computing;Internet of Things;2024-12

2. Blockchain‐Enabled Smart Healthcare Applications in 6G Networks;Digital Twin and Blockchain for Smart Cities;2024-09-10

3. Air computing: A survey on a new generation computation paradigm;Computer Networks;2024-09

4. Learning efficiency maximization in UAV-and-RIS-aided mobile edge learning system;Computer Networks;2024-09

5. Joint Optimization of Trajectory Control, Task Offloading, and Resource Allocation in Air-Ground Integrated Networks;IEEE Internet of Things Journal;2024-07-01