Unsupervised Learning Clustering and Dynamic Transmission Scheduling for Efficient Dense LoRaWAN Networks

Unsupervised Learning Clustering and Dynamic Transmission Scheduling for Efficient Dense LoRaWAN Networks

Long-Range (LoRa) communication technology is considered as a promising connectivity solutions for Internet of Things (IoT) dense applications. In particular, LoRa has drawn the interest due to its low power consumption and wide area coverage. Despite the benefits of LoRaWAN protocol, it still suffe...

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Bibliographic Details
Main Authors: Mohammed Alenezi, Kok Keong Chai, Atm S. Alam, Yue Chen, Shihab Jimaa
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Unsupervised clustering
collision rate
energy consumption
IoT
LoRa
Naive Bayes classifier
Online Access:https://ieeexplore.ieee.org/document/9229061/

Internet

https://ieeexplore.ieee.org/document/9229061/

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