@@ -21,7 +21,7 @@ Here’s a more accessible README-style description based on the points you prov
The **En-WDM** simulator is an enhanced version of the **WDM** ([Working Day Mobility model](https://doi.org/10.1145/1374688.1374695])) human mobility model, originally implemented within the [**ONE simulator**](https://github.com/akeranen/the-one/wiki/README). Our enhancements build upon WDM’s ability to combine diverse mobility aspects, including daily routines and preferred social spots, closely modeling real-world wireless interaction distributions. En-WDM extends this with advanced features that capture fine-grained human mobility patterns, making it adaptable for studies on mobility and network interactions.
## Key Features of En-WDM:
## Key Features of En-WDM
1.**Inherited WDM Functionalities**
En-WDM retains WDM’s structure of modeling weekday movements based on three main activities: "home," "working," and "night activity." The night activity period, in particular, simulates time spent in popular social spots, capturing leisure habits in social settings.
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@@ -45,7 +45,7 @@ The **En-WDM** simulator is an enhanced version of the **WDM** ([Working Day Mob
## En-WDM Configuration File Description
### Configuration generation
### Simulation configuration
Customize your simulation using the JSON configuration files located in [`./configFiles`](./configFiles). Use the `wdmConfigWriter.py` script to convert these JSON files into the ONE simulator format.
**Example Command to Generate ONE Config File:**
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@@ -81,13 +81,11 @@ The default values for many configuration parameters are set based on Helsinki p
-`"compareWithDefault"`: Enables comparison with the default WDM model (true/false). When true, it uses the EpidemicRouter protocol to measure Delay-Tolerant Networking (DTN) metrics, such as `InterContactTimes`, `ContactTimes`, and `ContactsPerHour`. Disable for faster simulation if movement modeling is the primary focus.
-`"compareWithDefault"`: Enables a comparison with the default WDM model when set to `true`. This activates the EpidemicRouter protocol to measure Delay-Tolerant Networking (DTN) metrics, such as `InterContactTimes`, `ContactTimes`, and `ContactsPerHour`. To focus solely on movement modeling and improve simulation speed, set this parameter to `false`.
-**Distance-based Profiling**: Users are grouped by their mobility range across distinct districts:
-`wdmGroupNamesMode1` limits users to a single district: A, B, C, or D (see figure of Helsinki districts below).
-`wdmGroupNamesMode1` limits users to a single district: A, B, C, or D (see [Map of Helsinki Districts](the-one/helsinki_map.png)).
-`wdmGroupNamesMode2` includes users moving across two districts, with groups: E (A and B), F (A and C), and G (A and D).
-`wdmGroupNamesMode3` represents users with mobility spanning all districts on the map.
Each group has a corresponding distribution configuration: `wdmGroupDistribution1`, `wdmGroupDistribution2`, and `wdmGroupDistribution3`. These distributions define the percentage of users per subgroup, and each distribution should sum up to 1.
-`"mapMobilityGroupName"`: Label representing users with background traffic, making it easier to identify these users within the generated traces.
-**Geographical Mapping**: Parameters like `country`, `cellTowersFile`, and `bbox` are used post-simulation to map mobility traces from the simulated coordinate system to real-world geographical coordinates. This allows conversion to a cell tower-based granularity using the methods in [`./TraceProcessing`](./TraceProcessing).
-**Time Reference for Traces**: Parameters `start_hour` and `date` provide an absolute timestamp, which is used to embed time information into the generated traces in [`./TraceProcessing`](./TraceProcessing).
