R/conasense.R

In bnRep: A Repository of Bayesian Networks from the Academic Literature

#' conasense Bayesian Network
#'
#' Bayesian neural networks for 6G CONASENSE services.
#'
#' @usage NULL
#'
#' @format
#' A discrete Bayesian network to support to optimization of the CONASENSE network. Probabilities were given within the referenced paper. The vertices are:
#' \describe{
#'   \item{Communication}{(Bandwidth, CoverageArea, Latency, PacketLoss);}
#'   \item{Navigation}{(Accuracy, Mobility, Speed);}
#'   \item{Sensing}{(TransmissionRange, Angle, Uplink);}
#'   \item{Services}{(Good, Moderate, Poor);}
#' }
#'
#' @return An object of class \code{bn.fit}. Refer to the documentation of \code{bnlearn} for details.
#' @keywords NULL
#' @importClassesFrom bnlearn bn.fit
#' @references Henrique, P. S. R., & Prasad, R. (2022, October). Bayesian Neural Networks for 6G CONASENSE Services. In 2022 25th International Symposium on Wireless Personal Multimedia Communications (WPMC) (pp. 291-296). IEEE.
"conasense"