core-extra/docs/emane.md

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# CORE/EMANE
* Table of Contents
{:toc}
## What is EMANE?
The Extendable Mobile Ad-hoc Network Emulator (EMANE) allows heterogeneous
network emulation using a pluggable MAC and PHY layer architecture. The
EMANE framework provides an implementation architecture for modeling
different radio interface types in the form of *Network Emulation Modules*
(NEMs) and incorporating these modules into a real-time emulation running
in a distributed environment.
EMANE is developed by U.S. Naval Research Labs (NRL) Code 5522 and Adjacent
Link LLC, who maintain these websites:
* <https://github.com/adjacentlink/emane>
2019-09-17 00:13:49 +01:00
* <http://www.adjacentlink.com/>
Instead of building Linux Ethernet bridging networks with CORE,
higher-fidelity wireless networks can be emulated using EMANE bound to virtual
devices. CORE emulates layers 3 and above (network, session, application) with
its virtual network stacks and process space for protocols and applications,
while EMANE emulates layers 1 and 2 (physical and data link) using its
pluggable PHY and MAC models.
The interface between CORE and EMANE is a TAP device. CORE builds the virtual
node using Linux network namespaces, installs the TAP device into the namespace
and instantiates one EMANE process in the namespace. The EMANE process binds a
user space socket to the TAP device for sending and receiving data from CORE.
An EMANE instance sends and receives OTA (Over-The-Air) traffic to and from
other EMANE instances via a control port (e.g. *ctrl0*, *ctrl1*). It also
sends and receives Events to and from the Event Service using the same or a
different control port. EMANE models are configured through the GUI's
configuration dialog. A corresponding EmaneModel Python class is sub-classed
for each supported EMANE model, to provide configuration items and their
mapping to XML files. This way new models can be easily supported. When
CORE starts the emulation, it generates the appropriate XML files that
specify the EMANE NEM configuration, and launches the EMANE daemons.
Some EMANE models support location information to determine when packets
should be dropped. EMANE has an event system where location events are
broadcast to all NEMs. CORE can generate these location events when nodes
are moved on the canvas. The canvas size and scale dialog has controls for
mapping the X,Y coordinate system to a latitude, longitude geographic system
that EMANE uses. When specified in the *core.conf* configuration file, CORE
can also subscribe to EMANE location events and move the nodes on the canvas
as they are moved in the EMANE emulation. This would occur when an Emulation
Script Generator, for example, is running a mobility script.
## EMANE in CORE
This section will cover some high level topics and examples for running and
using EMANE in CORE.
You can find more detailed tutorials and examples at the
[EMANE Tutorial](https://github.com/adjacentlink/emane-tutorial/wiki).
Every topic below assumes CORE, EMANE, and OSPF MDR have been installed.
> **WARNING:** demo files will be found within the new `core-pygui`
| Topic | Model | Description |
|--------------------------------------|---------|-----------------------------------------------------------|
| [XML Files](emane/files.md) | RF Pipe | Overview of generated XML files used to drive EMANE |
| [GPSD](emane/gpsd.md) | RF Pipe | Overview of running and integrating gpsd with EMANE |
| [Precomputed](emane/precomputed.md) | RF Pipe | Overview of using the precomputed propagation model |
| [EEL](emane/eel.md) | RF Pipe | Overview of using the Emulation Event Log (EEL) Generator |
| [Antenna Profiles](emane/antenna.md) | RF Pipe | Overview of using antenna profiles in EMANE |
## EMANE Configuration
The CORE configuration file **/etc/core/core.conf** has options specific to
EMANE. An example emane section from the **core.conf** file is shown below:
```shell
# EMANE configuration
emane_platform_port = 8101
emane_transform_port = 8201
emane_event_monitor = False
#emane_models_dir = /home/<user>/.coregui/custom_emane
# EMANE log level range [0,4] default: 2
emane_log_level = 2
emane_realtime = True
# prefix used for emane installation
# emane_prefix = /usr
```
If you have an EMANE event generator (e.g. mobility or pathloss scripts) and
want to have CORE subscribe to EMANE location events, set the following line
in the **core.conf** configuration file.
> **NOTE:** Do not set this option to True if you want to manually drag nodes around
on the canvas to update their location in EMANE.
```shell
emane_event_monitor = True
```
Another common issue is if installing EMANE from source, the default configure
prefix will place the DTD files in **/usr/local/share/emane/dtd** while CORE
expects them in **/usr/share/emane/dtd**.
Update the EMANE prefix configuration to resolve this problem.
```shell
emane_prefix = /usr/local
```
## Custom EMANE Models
CORE supports custom developed EMANE models by way of dynamically loading user
created python files that represent the model. Custom EMANE models should be
placed within the path defined by **emane_models_dir** in the CORE
configuration file. This path cannot end in **/emane**.
Here is an example model with documentation describing functionality:
```python
"""
Example custom emane model.
"""
from pathlib import Path
from typing import Dict, Optional, Set, List
from core.config import Configuration
from core.emane import emanemanifest, emanemodel
class ExampleModel(emanemodel.EmaneModel):
"""
Custom emane model.
:cvar name: defines the emane model name that will show up in the GUI
Mac Definition:
:cvar mac_library: defines that mac library that the model will reference
:cvar mac_xml: defines the mac manifest file that will be parsed to obtain configuration options,
that will be displayed within the GUI
:cvar mac_defaults: allows you to override options that are maintained within the manifest file above
:cvar mac_config: parses the manifest file and converts configurations into core supported formats
Phy Definition:
NOTE: phy configuration will default to the universal model as seen below and the below section does not
have to be included
:cvar phy_library: defines that phy library that the model will reference, used if you need to
provide a custom phy
:cvar phy_xml: defines the phy manifest file that will be parsed to obtain configuration options,
that will be displayed within the GUI
:cvar phy_defaults: allows you to override options that are maintained within the manifest file above
or for the default universal model
:cvar phy_config: parses the manifest file and converts configurations into core supported formats
Custom Override Options:
NOTE: these options default to what's seen below and do not have to be included
:cvar config_ignore: allows you to ignore options within phy/mac, used typically if you needed to add
a custom option for display within the gui
"""
name: str = "emane_example"
mac_library: str = "rfpipemaclayer"
mac_xml: str = "/usr/share/emane/manifest/rfpipemaclayer.xml"
mac_defaults: Dict[str, str] = {
"pcrcurveuri": "/usr/share/emane/xml/models/mac/rfpipe/rfpipepcr.xml"
}
mac_config: List[Configuration] = []
phy_library: Optional[str] = None
phy_xml: str = "/usr/share/emane/manifest/emanephy.xml"
phy_defaults: Dict[str, str] = {
"subid": "1", "propagationmodel": "2ray", "noisemode": "none"
}
phy_config: List[Configuration] = []
config_ignore: Set[str] = set()
@classmethod
def load(cls, emane_prefix: Path) -> None:
"""
Called after being loaded within the EmaneManager. Provides configured
emane_prefix for parsing xml files.
:param emane_prefix: configured emane prefix path
:return: nothing
"""
manifest_path = "share/emane/manifest"
# load mac configuration
mac_xml_path = emane_prefix / manifest_path / cls.mac_xml
cls.mac_config = emanemanifest.parse(mac_xml_path, cls.mac_defaults)
# load phy configuration
phy_xml_path = emane_prefix / manifest_path / cls.phy_xml
cls.phy_config = emanemanifest.parse(phy_xml_path, cls.phy_defaults)
```
## Single PC with EMANE
This section describes running CORE and EMANE on a single machine. This is the
default mode of operation when building an EMANE network with CORE. The OTA
manager and Event service interface are set to use *ctrl0* and the virtual
nodes use the primary control channel for communicating with one another. The
primary control channel is automatically activated when a scenario involves
EMANE. Using the primary control channel prevents your emulation session from
sending multicast traffic on your local network and interfering with other
EMANE users.
EMANE is configured through an EMANE node. Once a node is linked to an EMANE
cloud, the radio interface on that node may also be configured
separately (apart from the cloud.)
Right click on an EMANE node and select EMANE Config to open the configuration dialog.
The EMANE models should be listed here for selection. (You may need to restart the
CORE daemon if it was running prior to installing the EMANE Python bindings.)
When an EMANE model is selected, you can click on the models option button
causing the GUI to query the CORE daemon for configuration items.
Each model will have different parameters, refer to the
EMANE documentation for an explanation of each item. The defaults values are
presented in the dialog. Clicking *Apply* and *Apply* again will store the
EMANE model selections.
The RF-PIPE and IEEE 802.11abg models use a Universal PHY that supports
geographic location information for determining pathloss between nodes. A
default latitude and longitude location is provided by CORE and this
location-based pathloss is enabled by default; this is the *pathloss mode*
setting for the Universal PHY. Moving a node on the canvas while the
emulation is running generates location events for EMANE. To view or change
the geographic location or scale of the canvas use the *Canvas Size and Scale*
dialog available from the *Canvas* menu.
Note that conversion between geographic and Cartesian coordinate systems is
done using UTM (Universal Transverse Mercator) projection, where different
zones of 6 degree longitude bands are defined. The location events generated
by CORE may become inaccurate near the zone boundaries for very large scenarios
that span multiple UTM zones. It is recommended that EMANE location scripts be
used to achieve geo-location accuracy in this situation.
Clicking the green *Start* button launches the emulation and causes TAP devices
to be created in the virtual nodes that are linked to the EMANE WLAN. These
devices appear with interface names such as eth0, eth1, etc. The EMANE processes
should now be running in each namespace.
To view the configuration generated by CORE, look in the */tmp/pycore.nnnnn/* session
directory to find the generated EMANE xml files. One easy way to view
this information is by double-clicking one of the virtual nodes and listing the files
in the shell.
![](static/emane-single-pc.png)
## Distributed EMANE
Running CORE and EMANE distributed among two or more emulation servers is
similar to running on a single machine. There are a few key configuration
items that need to be set in order to be successful, and those are outlined here.
It is a good idea to maintain separate networks for data (OTA) and control.
The control network may be a shared laboratory network, for example, and you do
not want multicast traffic on the data network to interfere with other EMANE
users. Furthermore, control traffic could interfere with the OTA latency and
throughput and might affect emulation fidelity. The examples described here will
use *eth0* as a control interface and *eth1* as a data interface, although
using separate interfaces is not strictly required. Note that these interface
names refer to interfaces present on the host machine, not virtual interfaces
within a node.
**IMPORTANT: If an auxiliary control network is used, an interface on the host
has to be assigned to that network.**
Each machine that will act as an emulation server needs to have CORE distributed
and EMANE installed. As well as be setup to work for CORE distributed mode.
The IP addresses of the available servers are configured from the CORE
servers dialog box. The dialog shows available
servers, some or all of which may be assigned to nodes on the canvas.
Nodes need to be assigned to servers and can be done so using the node
configuration dialog. When a node is not assigned to any emulation server,
it will be emulated locally.
Using the EMANE node configuration dialog. You can change the EMANE model
being used, along with changing any configuration setting from their defaults.
![](static/emane-configuration.png)
2020-04-10 05:33:20 +01:00
> **NOTE:** Here is a quick checklist for distributed emulation with EMANE.
1. Follow the steps outlined for normal CORE.
2. Assign nodes to desired servers
3. Synchronize your machine's clocks prior to starting the emulation,
using *ntp* or *ptp*. Some EMANE models are sensitive to timing.
4. Press the *Start* button to launch the distributed emulation.
Now when the Start button is used to instantiate the emulation, the local CORE
daemon will connect to other emulation servers that have been assigned
to nodes. Each server will have its own session directory where the
*platform.xml* file and other EMANE XML files are generated. The NEM IDs are
automatically coordinated across servers so there is no overlap.
An Ethernet device is used for disseminating multicast EMANE events, as
specified in the *configure emane* dialog. EMANE's Event Service can be run
with mobility or pathloss scripts.
If CORE is not subscribed to location events, it will generate them as nodes
are moved on the canvas.
Double-clicking on a node during runtime will cause the GUI to attempt to SSH
to the emulation server for that node and run an interactive shell. The public
key SSH configuration should be tested with all emulation servers prior to
starting the emulation.