24.2. Error Model¶
This section documents a few error model objects, typically associated with
NetDevice models, that are maintained as part of the network
module:
RateErrorModel
ListErrorModel
ReceiveListErrorModel
BurstErrorModel
Error models are used to indicate that a packet should be considered to be errored, according to the underlying (possibly stochastic or empirical) error model.
24.2.1. Model Description¶
The source code for error models live in the directory src/packet/utils
.
Two types of error models are generally provided. The first are stochastic
models. In this case, packets are errored according to underlying
random variable distributions. An example of this is the RateErrorModel
.
The other type of model is a deterministic or empirical model, in which
packets are errored according to a particular prescribed pattern.
An example is the ListErrorModel
that allows users to specify
the list of packets to be errored, by listing the specific packet UIDs.
The ns3::RateErrorModel
errors packets according to an underlying
random variable distribution, which is by default a UniformRandomVariable
distributed between 0.0 and 1.0. The error rate and error units (bit,
byte, or packet) are set by the user. For instance, by setting ErrorRate
to 0.1 and ErrorUnit to “Packet”, in the long run, around 10% of the
packets will be lost.
24.2.1.1. Design¶
Error models are ns-3 objects and can be created using the typical
pattern of CreateObject<>()
. They have configuration attributes.
An ErrorModel can be applied anywhere, but are commonly deployed on NetDevice models so that artificial losses (mimicking channel losses) can be induced.
24.2.1.2. Scope and Limitations¶
No known limitations. There are no existing models that try to modify the packet contents (e.g. apply bit or byte errors to the byte buffers). This type of operation will likely be performance-expensive, and existing Packet APIs may not easily support it.
The ns-3 spectrum model and devices that derive from it (e.g. LTE) have their own error model base class, found in
24.2.1.3. References¶
The initial ns-3 error models were ported from ns-2 (queue/errmodel.{cc,h})
24.2.2. Usage¶
The base class API is as follows:
bool ErrorModel::IsCorrupt (Ptr<Packet> pkt)
: Evaluate the packet and return true or false whether the packet should be considered errored or not. Some models could potentially alter the contents of the packet bit buffer.void ErrorModel::Reset ()
: Reset any state.void ErrorModel::Enable ()
: Enable the modelvoid ErrorModel::Disable ()
: Disable the model; IsCorrupt() will always return false.bool ErrorModel::IsEnabled () const
: Return the enabled state
Many ns-3 NetDevices contain attributes holding pointers to error
models. The error model is applied in the notional physical layer
processing chain of the device, and drops should show up on the PhyRxDrop
trace source of the device. The following are known to include an attribute
with a pointer available to hold this type of error model:
SimpleNetDevice
PointToPointNetDevice
CsmaNetDevice
VirtualNetDevice
However, the ErrorModel could be used anywhere where packets are used
24.2.2.1. Helpers¶
This model is typically not used with helpers.
24.2.2.2. Attributes¶
The RateErrorModel
contains the following attributes:
24.2.2.3. Output¶
What kind of data does the model generate? What are the key trace sources? What kind of logging output can be enabled?
24.2.2.4. Examples¶
Error models are used in the tutorial fifth
and sixth
programs.
The directory examples/error-model/
contains an example
simple-error-model.cc
that exercises the Rate and List error models.
The TCP example examples/tcp/tcp-nsc-lfn.cc
uses the Rate error model.
24.2.2.5. Troubleshooting¶
No known issues.
24.2.3. Validation¶
The error-model
unit test suite provides a single test case of
of a particular combination of ErrorRate and ErrorUnit for the
RateErrorModel
applied to a SimpleNetDevice
.
24.2.4. Acknowledgements¶
The basic ErrorModel, RateErrorModel, and ListErrorModel classes were ported from ns-2 to ns-3 in 2007. The ReceiveListErrorModel was added at that time.
The burst error model is due to Truc Anh N. Nguyen at the University of Kansas (James P.G. Sterbenz <jpgs@ittc.ku.edu>, director, ResiliNets Research Group (https://resilinets.org/), Information and Telecommunication Technology Center (ITTC) and Department of Electrical Engineering and Computer Science, The University of Kansas Lawrence, KS USA). Work supported in part by NSF FIND (Future Internet Design) Program under grant CNS-0626918 (Postmodern Internet Architecture), NSF grant CNS-1050226 (Multilayer Network Resilience Analysis and Experimentation on GENI), US Department of Defense (DoD), and ITTC at The University of Kansas.