@inproceedings{420a07fad00d45f49b0daaa122bd1973,
title = "A Data-Gathering Underwater Medium Access Control Scheme Using Carrier Sensing Associated Machine Learning",
abstract = "In this paper, we propose a medium access control method in underwater sensor networks aimed at gathering data from multiple sensor nodes to a sink node. Considering the long propagation delay of underwater acoustic channels, exchanging control packets between nodes is inefficient. In our work, sensor nodes are trained through a machine learning and determine the correct timing for data transmission to avoid possible collisions without exchanging control packets. To learn varying channel conditions, sensor nodes employ a carrier sensing. Simulation results reveal that among machine learning models, the proposed scheme utilizing the MLP model exhibits the most outstanding performance.",
keywords = "Carrier Sensing, Machine Learning, Medium Access Control, Underwater Sensor Networks (UWSNs)",
author = "Lee, {Jong Won} and Park, {Shin Young} and Do, {Eun Ju} and Cho, {Ho Shin}",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 15th International Conference on Ubiquitous and Future Networks, ICUFN 2024 ; Conference date: 02-07-2024 Through 05-07-2024",
year = "2024",
doi = "10.1109/ICUFN61752.2024.10625189",
language = "English",
series = "International Conference on Ubiquitous and Future Networks, ICUFN",
publisher = "IEEE Computer Society",
pages = "570--572",
booktitle = "ICUFN 2024 - 15th International Conference on Ubiquitous and Future Networks",
address = "United States",
}