Dataset: Optimizing LoRaWAN Throughput in Maritime Environments Through Adaptive Coding and Modulation in Rayleigh Fading Channels

Simple item page
dc.contributor.authorLyimo, Martine
dc.contributor.authorMgawe, Bonny
dc.contributor.authorLeo, Judith
dc.contributor.authorDida, Mussa
dc.contributor.authorMichael, Kisangiri
dc.date.accessioned2025-08-28T12:56:04Z
dc.date.issued2025
dc.descriptionSDG-7: Affordable and Clean Energy SDG-9: Industry, Innovation and Infrastructure SDG-13: Climate Action SDG-14: Life Below Water
dc.description.abstractThis dataset supports the article “Optimizing LoRaWAN Throughput in Maritime Environments through Adaptive Coding and Modulation under Rayleigh Fading”. It includes simulation outputs and MATLAB source code for reproducing all figures and results in the study. Files include throughput, PER, energy efficiency, spectral efficiency, and an ACM algorithm function.
dc.identifier.urihttps://doi.org/10.5281/zenodo.16740965
dc.identifier.urihttps://dspace.nm-aist.ac.tz/handle/123456789/3198
dc.language.isoen
dc.publisherZenodo
dc.subjectLoRaWAN Adaptive Coding and Modulation Rayleigh Fading Marine IoT Energy Efficiency Signal to Noise Ratio
dc.titleDataset: Optimizing LoRaWAN Throughput in Maritime Environments Through Adaptive Coding and Modulation in Rayleigh Fading Channels
dc.typeDataset

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
DS_CoCSE_2025.pdf
Size:
63.35 KB
Format:
Adobe Portable Document Format
Download

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Datasets