RLR: Joint Reinforcement Learning and Attraction Reward for Mobile Charger in Wireless Rechargeable Sensor Networks-Reference-Cited by-同舟云学术

RLR: Joint Reinforcement Learning and Attraction Reward for Mobile Charger in Wireless Rechargeable Sensor Networks

Author:

Shang Cuijuan¹,Chang Chih-Yung²^ORCID,Liao Wen-Hwa³^ORCID,Roy Diptendu Sinha⁴^ORCID

Affiliation:

1. School of Computer and Information Engineering, Chuzhou University, Chuzhou, China

2. Department of Computer Science and Information Engineering, Tamkang University, Taipei, Taiwan

3. Institute of Information and Decision Sciences, National Taipei University of Business, Taipei, Taiwan

4. Department of Computer Science and Engineering, National Institute of Technology Meghalaya, Shillong, India

Funder

Natural Science Foundation of Anhui Province

Higher Education Research Program Project

Scientific Research Project of Chuzhou University

Ministry of Science and Technology of Taiwan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

Reference22 articles.

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