Enum LossModel 

pub enum LossModel {
    None,
    Random(RandomLoss),
    GilbertElliot(GilbertElliot),
}

Loss model for packet dropping.

Real networks rarely have uniform random loss. Instead, losses tend to come in bursts due to congestion, interference, or route changes. This enum provides different models to simulate various loss patterns.

Variants

None

No packet loss. All packets are delivered.

Random(RandomLoss)

Probability-based random loss with optional correlation.

See RandomLoss for configuration options.

GilbertElliot(GilbertElliot)

Gilbert-Elliot model for realistic bursty packet loss.

This 2-state Markov model alternates between GOOD (low loss) and BAD (high loss) states, producing realistic burst patterns where losses cluster together rather than being spread evenly.

Use the builder methods or presets on GilbertElliot:

• GilbertElliot::wifi() - occasional short bursts
• GilbertElliot::cellular() - moderate bursts from handoffs
• GilbertElliot::satellite() - rare but longer bursts
• GilbertElliot::congested() - frequent drops

Trait Implementations

impl Clone for LossModel

fn clone(&self) -> LossModel

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for LossModel

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for LossModel

fn default() -> LossModel

Returns the “default value” for a type.

impl From<GilbertElliot> for LossModel

fn from(value: GilbertElliot) -> Self

Converts to this type from the input type.

impl From<RandomLoss> for LossModel

fn from(value: RandomLoss) -> Self

Converts to this type from the input type.

impl Copy for LossModel