Ajou University repository

Hybrid Pseudo-Bayesian Estimation in Random Access-Based Tactical FANETs
  • Kim, Taewook ;
  • Lee, Junseong ;
  • Jeon, Jimin ;
  • Ahn, Jaeha ;
  • You, Youngbin ;
  • Lee, Min ;
  • Yu, Heejung ;
  • Lee, Howon
Citations

SCOPUS

0

Citation Export

Publication Year
2024-03-01
Publisher
Korean Institute of Communications and Information Sciences
Citation
Journal of Korean Institute of Communications and Information Sciences, Vol.49, pp.369-372
Keyword
Bayesian estimationEstimation errorRandom accessTactical FANETUAV
All Science Classification Codes (ASJC)
Computer Networks and CommunicationsInformation Systems and ManagementComputer Science (miscellaneous)
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.
Language
eng
URI
https://dspace.ajou.ac.kr/dev/handle/2018.oak/34061
DOI
https://doi.org/10.7840/kics.2024.49.3.369
Fulltext

Type
Article
Show full item record

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Lee, Howon Image
Lee, Howon이호원
Department of Electrical and Computer Engineering
Read More

Total Views & Downloads

File Download

  • There are no files associated with this item.