conasense

Bayesian neural networks for 6G CONASENSE services.

A collection of Bayesian networks (discrete, Gaussian, and conditional linear Gaussian) collated from recent academic literature. The 'bnRep_summary' object provides an overview of the Bayesian networks in the repository and the package documentation includes details about the variables in each network. A Shiny app to explore the repository can be launched with 'bnRep_app()' and is available online at <https://manueleleonelli.shinyapps.io/bnRep>. Reference: 'M. Leonelli' (2025) <doi:10.1016/j.neucom.2025.129502>.

Manuele Leonelli

bnRep

A Repository of Bayesian Networks from the Academic Literature

conasense function

A discrete Bayesian network to support to optimization of the CONASENSE network. Probabilities were given within the referenced paper. The vertices are:<dl>
<dt>Communication</dt>
<dd>(Bandwidth, CoverageArea, Latency, PacketLoss);</dd><dt>Navigation</dt>
<dd>(Accuracy, Mobility, Speed);</dd><dt>Sensing</dt>
<dd>(TransmissionRange, Angle, Uplink);</dd><dt>Services</dt>
<dd>(Good, Moderate, Poor);</dd>
</dl>

Format

conasense Bayesian Network — conasense

A discrete Bayesian network to support to optimization of the CONASENSE network. Probabilities were given within the referenced paper. The vertices are:<dl>
<dt>Communication</dt>
<dd>(Bandwidth, CoverageArea, Latency, PacketLoss);</dd>

<dt>Navigation</dt>
<dd>(Accuracy, Mobility, Speed);</dd>

<dt>Sensing</dt>
<dd>(TransmissionRange, Angle, Uplink);</dd>

<dt>Services</dt>
<dd>(Good, Moderate, Poor);</dd>


</dl>

conasense: conasense Bayesian Network

Description

Arguments

Value

Format

References