Hybrid Pseudo-Bayesian Estimation in Random Access-Based Tactical FANETs 


Vol. 49,  No. 3, pp. 369-372, Mar.  2024
10.7840/kics.2024.49.3.369


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  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.

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  Cite this article

[IEEE Style]

T. Kim, J. Lee, J. Jeon, J. Ahn, Y. You, M. Lee, H. Yu, H. Lee, "Hybrid Pseudo-Bayesian Estimation in Random Access-Based Tactical FANETs," The Journal of Korean Institute of Communications and Information Sciences, vol. 49, no. 3, pp. 369-372, 2024. DOI: 10.7840/kics.2024.49.3.369.

[ACM Style]

Taewook Kim, Junseong Lee, Jimin Jeon, Jaeha Ahn, Youngbin You, Min Lee, Heejung Yu, and Howon Lee. 2024. Hybrid Pseudo-Bayesian Estimation in Random Access-Based Tactical FANETs. The Journal of Korean Institute of Communications and Information Sciences, 49, 3, (2024), 369-372. DOI: 10.7840/kics.2024.49.3.369.

[KICS Style]

Taewook Kim, Junseong Lee, Jimin Jeon, Jaeha Ahn, Youngbin You, Min Lee, Heejung Yu, Howon Lee, "Hybrid Pseudo-Bayesian Estimation in Random Access-Based Tactical FANETs," The Journal of Korean Institute of Communications and Information Sciences, vol. 49, no. 3, pp. 369-372, 3. 2024. (https://doi.org/10.7840/kics.2024.49.3.369)
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pISSN : 1226 - 4717
eISSN : 2287 - 3880