Collaboration-Aware Relay Selection for AUV in Internet of Underwater Network: Evolving Contextual Bandit Learning Approach-Reference-Cited by-同舟云学术

Collaboration-Aware Relay Selection for AUV in Internet of Underwater Network: Evolving Contextual Bandit Learning Approach

Published:2023-02-01 Issue:3 Volume:10 Page:2430-2443
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Zhao Haihong¹,Li Xinbin¹^ORCID,Han Song¹^ORCID,Yan Lei²^ORCID,Yu Junzhi³

Affiliation:

1. Key Laboratory of Industrial Computer Control Engineering of Hebei Province, Yanshan University, Qinhuangdao, China

2. School of Computer and Communication Engineering, Northeastern University, Qinhuangdao, China

3. Department of Advanced Manufacturing and Robotics, BIC-ESAT, College of Engineering, State Key Laboratory for Turbulence and Complex Systems, Peking University, Beijing, China

Funder

National Natural Science Foundation of China

S&T Program of Hebei

Provincial Key Laboratory Performance Subsidy Project

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/ielx7/6488907/10024910/09910599.pdf?arnumber=9910599

Reference52 articles.

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4. Sleeping Contextual/Non-Contextual Thompson Sampling MAB for mmWave D2D Two-Hop Relay Probing

5. Contextual-Bandit based MIMO Relay Selection Policy with Channel Uncertainty

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