Optimizing and Updating LoRa Communication Parameters: A Machine Learning Approach-Reference-Cited by-同舟云学术

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Optimizing and Updating LoRa Communication Parameters: A Machine Learning Approach

Published:2019-09 Issue:3 Volume:16 Page:884-895
ISSN:1932-4537
Container-title:IEEE Transactions on Network and Service Management
language:
Short-container-title:IEEE Trans. Netw. Serv. Manage.

Author:

Sandoval Ruben M.^ORCID,Garcia-Sanchez Antonio-Javier^ORCID,Garcia-Haro Joan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Link

http://xplorestaging.ieee.org/ielx7/4275028/8827375/08758936.pdf?arnumber=8758936

Cited by 63 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Experimental analysis of low-duty cycle campus deployed IoT network using LoRa technology;Results in Engineering;2024-09

2. Recent Developments in AI and ML for IoT: A Systematic Literature Review on LoRaWAN Energy Efficiency and Performance Optimization;Sensors;2024-07-11

3. Machine learning deployment for energy monitoring of Internet of Things nodes in smart agriculture;International Journal of Communication Systems;2024-06-28

4. Autonomous Lightweight Scheduling in LoRa-Based Networks Using Reinforcement Learning;2024 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom);2024-06-24

5. Ensuring Reliability for LoRa Networks Using a Reinforcement-Learning-Assisted Time Division Duplex Protocol;IEEE Internet of Things Journal;2024-02-01

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