Deep Reinforcement Learning for Energy Efficient Routing and Throughput Maximization in Various Networks-Reference-Cited by-同舟云学术

Deep Reinforcement Learning for Energy Efficient Routing and Throughput Maximization in Various Networks

Published:2022-11-10 Issue: Volume: Page:
ISSN:
Container-title:2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)
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Author:

Mohanavel V.¹,Tamilselvi M.²,Ramkumar G.³,Prabu R. Thandaiah³,Anitha G³

Affiliation:

1. Bharath Institute of Higher Education and Research,Centre for Materials Engineering and Regenerative Medicine,Chennai,Tamil Nadu,India,600073

2. SRM Institute of Science and Technology, Ramapuram Campus,Department of Electronics and Communication,Chennai,Tamil Nadu,India

3. Saveetha Institute of Medical and Technical Sciences, Thandalam,Saveetha School of Engineering,Department of Electronics and Communication Engineering,Chennai,602105

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9986507/9986494/09987395.pdf?arnumber=9987395

Reference14 articles.

1. Resource Allocation in Uplink NOMA-IoT Networks: A Reinforcement-Learning Approach

2. DRL-Based Energy-Efficient Resource Allocation Frameworks for Uplink NOMA Systems

3. Multi-Objective Optimization of Energy Saving and Throughput in Heterogeneous Networks Using Deep Reinforcement Learning

4. Distributed Crash Free Media Access Control Protocol for Underwater Sensor Network;ramkumar;2021 5th International Conference on Trends in Electronics and Informatics (ICOEI),2021

5. Dynamic Multichannel Sensing in Cognitive Radio: Hierarchical Reinforcement Learning

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