2018-07-31 20:57:30 +01:00
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# CORE/EMANE
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* Table of Contents
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{:toc}
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## What is EMANE?
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2020-04-09 22:34:52 +01:00
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The Extendable Mobile Ad-hoc Network Emulator (EMANE) allows heterogeneous
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network emulation using a pluggable MAC and PHY layer architecture. The
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EMANE framework provides an implementation architecture for modeling
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different radio interface types in the form of *Network Emulation Modules*
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(NEMs) and incorporating these modules into a real-time emulation running
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in a distributed environment.
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2020-04-09 22:34:52 +01:00
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EMANE is developed by U.S. Naval Research Labs (NRL) Code 5522 and Adjacent
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Link LLC, who maintain these websites:
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2019-09-17 17:33:55 +01:00
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* <https://github.com/adjacentlink/emane>
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2019-09-17 00:13:49 +01:00
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* <http://www.adjacentlink.com/>
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2020-04-09 22:34:52 +01:00
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Instead of building Linux Ethernet bridging networks with CORE,
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higher-fidelity wireless networks can be emulated using EMANE bound to virtual
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devices. CORE emulates layers 3 and above (network, session, application) with
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its virtual network stacks and process space for protocols and applications,
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while EMANE emulates layers 1 and 2 (physical and data link) using its
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pluggable PHY and MAC models.
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The interface between CORE and EMANE is a TAP device. CORE builds the virtual
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node using Linux network namespaces, installs the TAP device into the namespace
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and instantiates one EMANE process in the namespace. The EMANE process binds a
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user space socket to the TAP device for sending and receiving data from CORE.
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An EMANE instance sends and receives OTA (Over-The-Air) traffic to and from
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other EMANE instances via a control port (e.g. *ctrl0*, *ctrl1*). It also
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sends and receives Events to and from the Event Service using the same or a
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different control port. EMANE models are configured through the GUI's
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configuration dialog. A corresponding EmaneModel Python class is sub-classed
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for each supported EMANE model, to provide configuration items and their
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mapping to XML files. This way new models can be easily supported. When
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CORE starts the emulation, it generates the appropriate XML files that
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specify the EMANE NEM configuration, and launches the EMANE daemons.
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Some EMANE models support location information to determine when packets
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should be dropped. EMANE has an event system where location events are
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broadcast to all NEMs. CORE can generate these location events when nodes
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are moved on the canvas. The canvas size and scale dialog has controls for
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mapping the X,Y coordinate system to a latitude, longitude geographic system
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that EMANE uses. When specified in the *core.conf* configuration file, CORE
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can also subscribe to EMANE location events and move the nodes on the canvas
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as they are moved in the EMANE emulation. This would occur when an Emulation
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Script Generator, for example, is running a mobility script.
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2020-10-05 02:31:34 +01:00
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## EMANE in CORE
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This section will cover some high level topics and examples for running and
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using EMANE in CORE.
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You can find more detailed tutorials and examples at the
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[EMANE Tutorial](https://github.com/adjacentlink/emane-tutorial/wiki).
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Every topic below assumes CORE, EMANE, and OSPF MDR have been installed.
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> **WARNING:** demo files will be found within the new `core-pygui`
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2022-02-25 18:38:14 +00:00
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| Topic | Model | Description |
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|--------------------------------------|---------|-----------------------------------------------------------|
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| [XML Files](emane/files.md) | RF Pipe | Overview of generated XML files used to drive EMANE |
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| [GPSD](emane/gpsd.md) | RF Pipe | Overview of running and integrating gpsd with EMANE |
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| [Precomputed](emane/precomputed.md) | RF Pipe | Overview of using the precomputed propagation model |
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| [EEL](emane/eel.md) | RF Pipe | Overview of using the Emulation Event Log (EEL) Generator |
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| [Antenna Profiles](emane/antenna.md) | RF Pipe | Overview of using antenna profiles in EMANE |
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## EMANE Configuration
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The CORE configuration file **/etc/core/core.conf** has options specific to
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EMANE. An example emane section from the **core.conf** file is shown below:
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```shell
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# EMANE configuration
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emane_platform_port = 8101
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emane_transform_port = 8201
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emane_event_monitor = False
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#emane_models_dir = /home/<user>/.coregui/custom_emane
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# EMANE log level range [0,4] default: 2
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emane_log_level = 2
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emane_realtime = True
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# prefix used for emane installation
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# emane_prefix = /usr
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```
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If you have an EMANE event generator (e.g. mobility or pathloss scripts) and
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want to have CORE subscribe to EMANE location events, set the following line
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in the **core.conf** configuration file.
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> **NOTE:** Do not set this option to True if you want to manually drag nodes around
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on the canvas to update their location in EMANE.
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```shell
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emane_event_monitor = True
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```
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2018-08-02 18:12:05 +01:00
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Another common issue is if installing EMANE from source, the default configure
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prefix will place the DTD files in **/usr/local/share/emane/dtd** while CORE
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expects them in **/usr/share/emane/dtd**.
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Update the EMANE prefix configuration to resolve this problem.
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```shell
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emane_prefix = /usr/local
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```
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2018-07-31 20:57:30 +01:00
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## Custom EMANE Models
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CORE supports custom developed EMANE models by way of dynamically loading user
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created python files that represent the model. Custom EMANE models should be
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placed within the path defined by **emane_models_dir** in the CORE
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configuration file. This path cannot end in **/emane**.
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Here is an example model with documentation describing functionality:
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```python
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"""
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Example custom emane model.
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"""
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from pathlib import Path
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from typing import Dict, Optional, Set, List
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from core.config import Configuration
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from core.emane import emanemanifest, emanemodel
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class ExampleModel(emanemodel.EmaneModel):
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"""
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Custom emane model.
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:cvar name: defines the emane model name that will show up in the GUI
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Mac Definition:
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:cvar mac_library: defines that mac library that the model will reference
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:cvar mac_xml: defines the mac manifest file that will be parsed to obtain configuration options,
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that will be displayed within the GUI
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:cvar mac_defaults: allows you to override options that are maintained within the manifest file above
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:cvar mac_config: parses the manifest file and converts configurations into core supported formats
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Phy Definition:
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NOTE: phy configuration will default to the universal model as seen below and the below section does not
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have to be included
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:cvar phy_library: defines that phy library that the model will reference, used if you need to
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provide a custom phy
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:cvar phy_xml: defines the phy manifest file that will be parsed to obtain configuration options,
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that will be displayed within the GUI
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:cvar phy_defaults: allows you to override options that are maintained within the manifest file above
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or for the default universal model
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:cvar phy_config: parses the manifest file and converts configurations into core supported formats
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Custom Override Options:
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NOTE: these options default to what's seen below and do not have to be included
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:cvar config_ignore: allows you to ignore options within phy/mac, used typically if you needed to add
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a custom option for display within the gui
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"""
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name: str = "emane_example"
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mac_library: str = "rfpipemaclayer"
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mac_xml: str = "/usr/share/emane/manifest/rfpipemaclayer.xml"
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mac_defaults: Dict[str, str] = {
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"pcrcurveuri": "/usr/share/emane/xml/models/mac/rfpipe/rfpipepcr.xml"
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}
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mac_config: List[Configuration] = []
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phy_library: Optional[str] = None
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phy_xml: str = "/usr/share/emane/manifest/emanephy.xml"
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phy_defaults: Dict[str, str] = {
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"subid": "1", "propagationmodel": "2ray", "noisemode": "none"
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}
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phy_config: List[Configuration] = []
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config_ignore: Set[str] = set()
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@classmethod
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def load(cls, emane_prefix: Path) -> None:
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"""
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Called after being loaded within the EmaneManager. Provides configured
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emane_prefix for parsing xml files.
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:param emane_prefix: configured emane prefix path
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:return: nothing
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"""
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manifest_path = "share/emane/manifest"
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# load mac configuration
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mac_xml_path = emane_prefix / manifest_path / cls.mac_xml
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cls.mac_config = emanemanifest.parse(mac_xml_path, cls.mac_defaults)
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# load phy configuration
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phy_xml_path = emane_prefix / manifest_path / cls.phy_xml
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cls.phy_config = emanemanifest.parse(phy_xml_path, cls.phy_defaults)
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```
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## Single PC with EMANE
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2020-04-09 22:34:52 +01:00
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This section describes running CORE and EMANE on a single machine. This is the
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default mode of operation when building an EMANE network with CORE. The OTA
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manager and Event service interface are set to use *ctrl0* and the virtual
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nodes use the primary control channel for communicating with one another. The
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primary control channel is automatically activated when a scenario involves
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EMANE. Using the primary control channel prevents your emulation session from
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sending multicast traffic on your local network and interfering with other
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EMANE users.
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EMANE is configured through an EMANE node. Once a node is linked to an EMANE
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cloud, the radio interface on that node may also be configured
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separately (apart from the cloud.)
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Right click on an EMANE node and select EMANE Config to open the configuration dialog.
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The EMANE models should be listed here for selection. (You may need to restart the
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CORE daemon if it was running prior to installing the EMANE Python bindings.)
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When an EMANE model is selected, you can click on the models option button
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causing the GUI to query the CORE daemon for configuration items.
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Each model will have different parameters, refer to the
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EMANE documentation for an explanation of each item. The defaults values are
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presented in the dialog. Clicking *Apply* and *Apply* again will store the
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EMANE model selections.
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The RF-PIPE and IEEE 802.11abg models use a Universal PHY that supports
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geographic location information for determining pathloss between nodes. A
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default latitude and longitude location is provided by CORE and this
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location-based pathloss is enabled by default; this is the *pathloss mode*
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setting for the Universal PHY. Moving a node on the canvas while the
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emulation is running generates location events for EMANE. To view or change
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the geographic location or scale of the canvas use the *Canvas Size and Scale*
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dialog available from the *Canvas* menu.
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Note that conversion between geographic and Cartesian coordinate systems is
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done using UTM (Universal Transverse Mercator) projection, where different
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zones of 6 degree longitude bands are defined. The location events generated
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by CORE may become inaccurate near the zone boundaries for very large scenarios
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that span multiple UTM zones. It is recommended that EMANE location scripts be
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used to achieve geo-location accuracy in this situation.
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Clicking the green *Start* button launches the emulation and causes TAP devices
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to be created in the virtual nodes that are linked to the EMANE WLAN. These
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devices appear with interface names such as eth0, eth1, etc. The EMANE processes
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should now be running in each namespace.
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To view the configuration generated by CORE, look in the */tmp/pycore.nnnnn/* session
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directory to find the generated EMANE xml files. One easy way to view
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this information is by double-clicking one of the virtual nodes and listing the files
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in the shell.
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2022-03-08 19:30:03 +00:00
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![](static/emane-single-pc.png)
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## Distributed EMANE
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2020-04-09 22:34:52 +01:00
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Running CORE and EMANE distributed among two or more emulation servers is
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similar to running on a single machine. There are a few key configuration
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items that need to be set in order to be successful, and those are outlined here.
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It is a good idea to maintain separate networks for data (OTA) and control.
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The control network may be a shared laboratory network, for example, and you do
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not want multicast traffic on the data network to interfere with other EMANE
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users. Furthermore, control traffic could interfere with the OTA latency and
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throughput and might affect emulation fidelity. The examples described here will
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use *eth0* as a control interface and *eth1* as a data interface, although
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using separate interfaces is not strictly required. Note that these interface
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names refer to interfaces present on the host machine, not virtual interfaces
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within a node.
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**IMPORTANT: If an auxiliary control network is used, an interface on the host
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has to be assigned to that network.**
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Each machine that will act as an emulation server needs to have CORE distributed
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and EMANE installed. As well as be setup to work for CORE distributed mode.
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The IP addresses of the available servers are configured from the CORE
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servers dialog box. The dialog shows available
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servers, some or all of which may be assigned to nodes on the canvas.
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Nodes need to be assigned to servers and can be done so using the node
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configuration dialog. When a node is not assigned to any emulation server,
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it will be emulated locally.
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Using the EMANE node configuration dialog. You can change the EMANE model
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being used, along with changing any configuration setting from their defaults.
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2022-03-08 19:30:03 +00:00
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![](static/emane-configuration.png)
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2020-04-10 05:33:20 +01:00
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> **NOTE:** Here is a quick checklist for distributed emulation with EMANE.
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1. Follow the steps outlined for normal CORE.
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2. Assign nodes to desired servers
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3. Synchronize your machine's clocks prior to starting the emulation,
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using *ntp* or *ptp*. Some EMANE models are sensitive to timing.
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4. Press the *Start* button to launch the distributed emulation.
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Now when the Start button is used to instantiate the emulation, the local CORE
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daemon will connect to other emulation servers that have been assigned
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to nodes. Each server will have its own session directory where the
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*platform.xml* file and other EMANE XML files are generated. The NEM IDs are
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automatically coordinated across servers so there is no overlap.
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An Ethernet device is used for disseminating multicast EMANE events, as
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specified in the *configure emane* dialog. EMANE's Event Service can be run
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with mobility or pathloss scripts.
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If CORE is not subscribed to location events, it will generate them as nodes
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are moved on the canvas.
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Double-clicking on a node during runtime will cause the GUI to attempt to SSH
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to the emulation server for that node and run an interactive shell. The public
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key SSH configuration should be tested with all emulation servers prior to
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starting the emulation.
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