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

  • Taewook Kim
  • , Junseong Lee
  • , Jimin Jeon
  • , Jaeha Ahn
  • , Youngbin You
  • , Min Lee
  • , Heejung Yu
  • , Howon Lee*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Pages (from-to)369-372
Number of pages4
JournalJournal of Korean Institute of Communications and Information Sciences
Volume49
Issue number3
DOIs
Publication statusPublished - 2024 Mar 1

Bibliographical note

Publisher Copyright:
© 2024, Korean Institute of Communications and Information Sciences. All rights reserved.

Keywords

  • Bayesian estimation
  • Estimation error
  • Random access
  • Tactical FANET
  • UAV

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems and Management
  • Computer Science (miscellaneous)

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