Data-Driven Resource Allocation for Deep Learning in IoT Networks-Reference-Cited by-同舟云学术

Data-Driven Resource Allocation for Deep Learning in IoT Networks

Published:2024-01-15 Issue:2 Volume:11 Page:2082-2096
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Chun Chang-Jae¹^ORCID,Jeong Cheol²^ORCID

Affiliation:

1. Department of Artificial Intelligence, Sejong University, Seoul, South Korea

2. Department of Intelligent Mechatronics Engineering and the Department of Convergence Engineering for Intelligent Drone, Sejong University, Seoul, South Korea

Funder

Technology Development Program to Solve Climate Changes through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT

Institute of Information and Communications Technology Planning and Evaluation (IITP) Grant funded by the Korea Government

National Research Foundation of Korea (NRF) Grant funded by the Korea Government

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/ielx7/6488907/10384482/10175522.pdf?arnumber=10175522

Reference59 articles.

1. Internet of Things in Industries: A Survey

2. Industrial Internet of Things: Challenges, Opportunities, and Directions

3. Industrial Wireless Sensor Networks: Challenges, Design Principles, and Technical Approaches

4. An Industrial Perspective on Wireless Sensor Networks — A Survey of Requirements, Protocols, and Challenges

5. IoT, big data and artificial intelligence in agriculture and food industry

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