Learning-Automata-Based Energy Efficient Model for Device Lifetime Enhancement in LoRaWAN Networks-Reference-Cited by-同舟云学术

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Learning-Automata-Based Energy Efficient Model for Device Lifetime Enhancement in LoRaWAN Networks

Published:2022-07-13 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Computer, Information and Telecommunication Systems (CITS)
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Author:

Spathi Konstantina¹,Valkanis Anastasios¹,Beletsioti Georgia¹,Kantelis Konstantinos¹,Nicopolitidis Petros¹,Papadimitriou Georgios¹

Affiliation:

1. Aristotle Universtiy of Thessaloniki,Department of Informatics,Thessaloniki,Greece

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9832908/9832911/09832987.pdf?arnumber=9832987

Reference11 articles.

1. On-Demand LoRa: Asynchronous TDMA for Energy Efficient and Low Latency Communication in IoT

2. LoRa technology MAC layer operations and Research issues;elfehri;Procedia Computer Science,2018

3. Using learning automata for adaptive push-based data broadcasting in asymmetric wireless environments

4. A Survey on LoRaWAN Technology: Recent Trends, Opportunities, Simulation Tools and Future Directions

5. Ultra Low Power Wake-Up Radios: A Hardware and Networking Survey

Cited by 3 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. A Systematic Literature Review of LoRaWAN: Sensors and Applications;Sensors;2023-10-13

2. A TDMA-Based Access Protocol for Dense Networks with Moving Nodes for IoT Applications;Electronics;2023-03-30

3. Increasing device energy efficiency in LoRaWAN networks via a learning-automata-based approach;International Journal of Sensor Networks;2023

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