TY  - JOUR
T1  - Hybrid Pseudo-Bayesian Estimation in Random Access-Based Tactical FANETs
AU  - Kim, Taewook 
AU  - Lee, Junseong 
AU  - Jeon, Jimin 
AU  - Ahn, Jaeha 
AU  - You, Youngbin 
AU  - Lee, Min 
AU  - Yu, Heejung 
AU  - Lee, Howon 
JO  - The Journal of Korean Institute of Communications and Information Sciences
PY  - 2024
DA  - 2024/1/1
DO  - 10.7840/kics.2024.49.3.369
KW  - UAV
KW  - Random access
KW  - Estimation error
KW  - Bayesian estimation
KW  - Tactical FANET
AB  - 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.