OptRISQL: Toward Performance Improvement of Time-Varying IoT Networks Using Q-Learning-Reference-Cited by-同舟云学术

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OptRISQL: Toward Performance Improvement of Time-Varying IoT Networks Using Q-Learning

Published:2024-06 Issue:3 Volume:21 Page:3008-3020
ISSN:1932-4537
Container-title:IEEE Transactions on Network and Service Management
language:
Short-container-title:IEEE Trans. Netw. Serv. Manage.

Author:

Sharma Neha¹,Thota Venkata Saai Praneeth²^ORCID,Tankala Yuvaraj³,Tripathi Shraddha⁴^ORCID,Pandey Om Jee¹^ORCID

Affiliation:

1. Department of Electronics Engineering, Indian Institute of Technology (BHU) Varanasi, Varanasi, India

2. Thomas Lord Department of Computer Science, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA

3. Engineering Department, Share Ventures Pvt. Ltd., Los Angeles, CA, USA

4. Department of Electrical Engineering, Indian Institute of Technology Kanpur, Kanpur, India

Funder

Science and Engineering Research Board (SERB) Government of India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/4275028/10599562/10415063.pdf?arnumber=10415063

Reference36 articles.

1. No Soldiers Left Behind: An IoT-Based Low-Power Military Mobile Health System Design

2. A Review of IoT-Enabled Mobile Healthcare: Technologies, Challenges, and Future Trends

3. Space-Air-Ground IoT Network and Related Key Technologies

4. Energy-Efficient Data Collection and Device Positioning in UAV-Assisted IoT

5. An Energy-Efficient SDN Controller Architecture for IoT Networks With Blockchain-Based Security

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