@article{M66BDFF6C,
title = "Hybrid Pseudo-Bayesian Estimation in Random Access-Based Tactical FANETs",
journal = "The Journal of Korean Institute of Communications and Information Sciences",
year = "2024",
issn = "1226-4717",
doi = "10.7840/kics.2024.49.3.369",
author = "Taewook Kim, Junseong Lee, Jimin Jeon, Jaeha Ahn, Youngbin You, Min Lee, Heejung Yu, Howon Lee",
keywords = "UAV, Random access, Estimation error, Bayesian estimation, Tactical FANET",
abstract = "In random access-based tactical flying ad-hoc networks, frequent packet collisions degrade network performance severely. To prevent packet collisions, it is imperative to accurately estimate the number of active UAVs (unmanned aerial vehicles); thus, this paper proposes an estimation method for the number of active UAVs based on pseudo-Bayesian estimation by combining the pure-Bayesian method and the pseudo-Bayesian method. Through intensive simulations, it is confirmed that the proposed method outperforms the various existing methods."
}