#Eclipse how to install xgraph software#
#Eclipse how to install xgraph code#
#Eclipse how to install xgraph simulator#
#Eclipse how to install xgraph download#

Select Project Type as Makefile Project -> Empty C++ Project.

Choose File -> New -> Project -> C++ Project.

Set the workspace as the ns installation path( /home/username/ns-allinone-2.34 ) by selecting File -> Switch Workspace.

Variable and other environment variables as needed. These instructions are to modify the PATH

Also, follow the instructions are displayed at the end of a.

Navigate to the NS-2 folder using terminal and type.

Add these lines anywhere near the top of the file: CCOPT = -g.

#Eclipse how to install xgraph software#

Then move to Install New Software (see step 4)

#Eclipse how to install xgraph download#

Have installed Eclipse, instead of steps 4 and 5, download the CDT from

If you do not have a working internet connection in the system you.

Install them.ĬDT stands for “C/C++ Development Tooling” Choose CDT Main Features and CDT Optional Features.Here are the step by step instructions to set up NS-2.34 with Eclipse 3.5 in Ubuntu Linux. Type “ exit” to quit.įor most users of NS2, it would be easier if they can use a popular IDE to work with the files. Now, the installation has been completed. (Alternatively, you may have to restart your X-windows, that is logout, and then login, or restart your computer.) Note: the previous step is important else you cannot successfully run ns-2. “/your/path” by the folder where you have stored extracted the ns-2 file Sudo apt-get install build-essential autoconf automake libxmu-devĪdd the following lines to the end of the file. their are two methods to do thatĮxtract the tar file in home directory i.e.

#Eclipse how to install xgraph simulator#

Through this paper, we aim at providing a basis for finding an adequate simulator for a particular task.Download the latest ns2 copy. As opposed to other simulator comparisons, we do not focus on the correlation of the individual simulation results. The model of quality defines which properties of models to measure and how to interpret them. For this purpose, we have proposed a model of quality for network simulators. Moreover, we also focus on the simulator's support for reusability and maintainability of simulation models by measuring particular model properties. Within the case study, we describe the strengths and weaknesses of the examined network simulators: First, we evaluate the usability of the simulators in terms of different parts of the protocol developer's work process. Therefore, we present a case study in which four common wireless network simulators were used to evaluate a well-known topology control protocol (SPAN). Since there are many simulators for wireless networks, it is often difficult to decide which one to choose. In order to do this, simulations are a good compromise between cost/complexity and accuracy of the results. Combined with the fact that such networks are often deployed for critical missions like forest fire detection in the WSN scenario or have to function properly and efficiently for an extended period of time, it is desirable to thoroughly test, analyze and evaluate newly developed communication protocols before deployment. This paper can help other researchers to quickly identify which simulator is most suitable for their needs.ĭesigning protocols for wireless networks is a challenging task. As opposed to other simulator comparisons, we do not focus on the correlation of the individual simulation results, but try to compare the simulators from feature and usability point of view.

#Eclipse how to install xgraph code#

Further, we compare the amount of effort needed for installation, familiarization, implementation (needed lines of code and lines for configuration) and visualization. Within the case study, we describe outstanding and desirable but missing features of the simulators, outlining their strengths and weaknesses. To help shed light on this issue, we present a case study in which four popular wireless network simulators were used to evaluate a well-known topology control protocol (SPAN). Since there are many simulators for wireless networks, it is often difficult to decide which simulator to choose. In order to evaluate the behavior and performance of protocols for wireless networks, simulations are a good compromise between cost and complexity, on the one hand, and accuracy of the results, on the other hand.