Modeling mobility is a key aspect when simulating different types of networks and a large number of various models has emerged in the last years. They are typically either trace-based, where GPS recordings are re-run in simulation, or synthetic models, which describe mobility with formal methods. Both concepts have advantages and disadvantages. For example, trace-based models are very in flexible in terms of simulation scenarios but have realistic behaviour, while synthetic models are very flexible, but lack realism. To overcome these these issues, a mobility model by the name of TRAILS (TRAce-based ProbabILiStic Mobility Model) has been developed. This model spans the gap between both families and combines their advantages into a single model. This repository contains an implementation of this mobility model in OMNeT++, a C++ based discrete event simulator.
The immediately following section is the procedure for anyone who wishes to get TRAILS up and running after.
TRAILS is uses the simulation environment of the OMNeT++ simulator and the scripts use Python and Bash. It is only meant for Linux or MacOS environments. The procedure for setting up and running TRAILS is given below.
- Open a console (terminal)
- Install and setup OMNeT++ v5.2.1 or higher (use OMNeT++ installation Guide)
- Install
Python 2.7 - Clone this repository:
git clone -b https://github.com/ComNets-Bremen/TRAILS - Change directory to
TRAILS - Download and untar the latest version of
OMNeT++ INETfromhttps://inet.omnetpp.org/Download.html - Build INET: run
./build-INET.sh - Build mobility model testing environment (MobilityModelCheck):
./build-MobilityModelCheck.sh - Build TRAILS database and BonnMotion trace file from SFO Taxi Cab traces: run
cd ./Traces/SFO-Taxi-Cabs ; ./prepare-traces.sh ; cd ../../ - Simulate mobility for 4 mobility models (Random Waypoint, SWIM, BonnMotion, TRAILS): run
./run-4-mobility-models.sh - Extract results from simulation output files in
MobilityModelCheck/results
Different TRAILS databased can be created with other parameters. Change the parameters given in the script ./prepare-traces.sh in ./Traces/SFO-Taxi-Cabs to suit requirements.
There are a set of codes in the log files that gives details about the number of contacts made during a simulations. The following list gives these codes and their meanings.
| Code | Description |
|---|---|
| ANS | accumulated neighbourhood size |
| TNRT | total neighbourhood reporting times |
| ACD | accumulated contact durations |
| TNC | total number of contacts up to now |
Statistics computed from these coded values are as follows.
Average Neighbourhood Size = ANS / TNRTAverage Contact Duration = ACD / TNCTotal Number of Contacts = TNC
Always use the last values listed in the logs. To get the last values, run the following bash commands on a terminal.
grep "TNRT\|ANS\|TNC\|ACD" General-0-20180518-23:16:11-28993-log2.txt | tail
Replace the General-0-20180518-23:16:11-28993-log2.txt file with the log file in in your simulation folder.
A python script has been written to collect the above mentioned results (results-collect.py) and it is available at Scripts/Results-Collect.
If you have any questions, comments or suggestions, please write to us using any of the e-mail adresses below.
- Anna Förster (anna.foerster@comnets.uni-bremen.de)
- Anas bin Muslim (anas1@uni-bremen.de)
- Asanga Udugama (adu@comnets.uni-bremen.de)