Enhancing Quality-of-Service in LoRa Low-Power Wide-Area Networks via Multi-Hop Optimized Radio Resource Management-Reference-Cited by-同舟云学术

Enhancing Quality-of-Service in LoRa Low-Power Wide-Area Networks via Multi-Hop Optimized Radio Resource Management

Published:2024-02-23 Issue: Volume: Page:1-5
ISSN:
Container-title:2024 International Conference on Integrated Circuits and Communication Systems (ICICACS)
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Author:

Jasim Alzubaidi Laith H.¹,Sunil G²,Praveena Hirald Dwaraka³,Sathishkumar N.⁴,M Manjula B.⁵

Affiliation:

1. The Islamic University,Najaf,Iraq

2. SR University,School of Computer Science and Artificial Intelligence,Warangal,India

3. School of Engineering, Mohan Babu University,Erstwhile Sree Vidya Nikethan Engineering College,Department of ECE,Tirupati,Andhra Pradesh,India

4. KPR Institute of Engineering and Technology,Department of Electronics and Communication Engineering,Coimbatore,India

5. Nitte Meenakshi Institute of Technology,Department of Electronics and Communication Engineering,Bengaluru,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10498131/10498150/10498522.pdf?arnumber=10498522

Reference11 articles.

1. Improving Energy Efficiency and QoS of LPWANs for IoT Using Q-Learning Based Data Routing

2. A multi-agent federated reinforcement learning-based optimization of quality of service in various LoRa network slices

3. Identification of Triple Negative Breast Cancer Genes Using Rough Set Based Feature Selection Algorithm & Ensemble Classifier;Patil;HUMAN-CENTRIC COMPUTING AND INFORMATION SCIENCES.,2022

4. Deep Reinforcement Learning based Resource Allocation in Dense Sliced LoRaWAN Networks

5. Modeling and Optimal Control of Power System Frequency Load Controller by Applying Disturbance in the System by a Modified Version of Firefly Algorithm