Delay Optimization in LoRaWAN by Employing Adaptive Scheduling Algorithm With Unsupervised Learning

<p dir="ltr">Low Power Wide Area Network (LPWAN) technologies have been exponentially growing because of the tremendous growth of the Internet of Things (IoT) devices across the globe. Several LPWAN technologies have been utilized by the researchers to address certain issues like inc...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Zulfiqar Ali (117651) (author)
مؤلفون آخرون:	Kashif Naseer Qureshi (12618721) (author), Ahmad Sami Al-Shamayleh (17541495) (author), Adnan Akhunzada (3134064) (author), Aadil Raza (17122988) (author), Muhammad Fasih Uddin Butt (8378763) (author)
منشور في:	2023
الموضوعات:	Engineering Communications engineering Information and computing sciences Distributed computing and systems software Delays Low-power wide area networks Logic gates Internet of Things Monitoring Smart healthcare Energy consumption Long range wide area network Forward error correction Energy efficiency Adaptive scheduling algorithm Gaussian mixture model Spreading factor Adaptive data rate End device Quality of service Chirp spread spectrum Packet success ratio
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Delay Optimization in LoRaWAN by Employing Adaptive Scheduling Algorithm With Unsupervised Learning

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