Optimal Computation Resource Allocation in Energy-Efficient Edge IoT Systems With Deep Reinforcement Learning-Reference-Cited by-同舟云学术

Optimal Computation Resource Allocation in Energy-Efficient Edge IoT Systems With Deep Reinforcement Learning

Author:

Ansere James Adu¹^ORCID,Gyamfi Eric²^ORCID,Li Yijiu³^ORCID,Shin Hyundong⁴^ORCID,Dobre Octavia A.⁵^ORCID,Hoang Trang⁶,Duong Trung Q.³^ORCID

Affiliation:

1. Department of Electrical and Electronic Engineering, Technical University, Sunyani, Ghana

2. School of Computer Science, College Dublin, Dublin 4, Ireland

3. School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, Belfast, U.K.

4. Department of Electronics and Information Convergence Engineering, Kyung Hee University, Yongin, South Korea

5. Faculty of Engineering and Applied Science, Memorial University, St. John’s, Canada

6. Electronics Engineering Department, Ho Chi Minh City University of Technology-Vietnam National University, Ho Chi Minh City, Vietnam

Funder

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

Natural Sciences and Engineering Research Council of Canada

Vietnam National University HoChiMinh City

U.K. Royal Academy of Engineering (RAEng) through the RAEng Research Chair and Senior Research Fellowship Scheme

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Renewable Energy, Sustainability and the Environment

Link

Reference38 articles.

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