Cisco Packet Tracer is proprietary software that allows you to run Cisco platform devices. It is a lightweight software and by default, Cisco devices are preloaded into it. Cisco packet tracer also allows you to understand the packets on each OSI layer. The Simulation mode of the Cisco packet tracer allows you to understand the traffic flow, and it will graphically show you each packet. However, you will be not able to integrate external devices.
So, the communication will be internal to the packet tracer only. This is also good for topology design. Overall, it is very helpful for networking students to learn networking. Download Cisco Packet Tracer. It is an open-source network simulator that allows you to learn networking. By default, it comes with ethernet switches and hub, you need to add additional Routers, Firewalls, etc. Unlike, Cisco packet tracer it is multivendor network emulation software and gives you a great learning experience.
So, operating systems like, MS Windows, Linux, etc. Wireshark can be used on live links to analyze the traffic. Additionally, you can set up the Syslog server, so it is become easier to analyze the historical logs. You can interconnect many other virtual or physical devices. So, it provides you a great learning experience. EVE-NG comes with two different editions, i. Paid and Free. Because of it has been used for a long time in the industry, it become mature and has occupied a big market share.
It can be flexibly used to study communication networks, devices, protocols, and applications. Because of the fact of being a commercial software provider, OPNET offers relatively much powerful visual or graphical support for the users.
The graphical editor interface can be used to build network topology and entities from the application layer to the physical layer. Object-oriented programming technique is used to create the mapping from the graphical design to the implementation of the real systems. We can see all the topology configuration and simulation results can be presented very intuitively and visually.
The parameters can also be adjusted and the experiments can be repeated easily through easy operation through the GUI. OPNET is based on a mechanism called discrete event system which means that the system behavior can simulate by modeling the events in the system in the order of the scenarios the user has set up.
Hierarchical structure is used to organize the networks. As other network simulators, OPNET also provides programming tools for users to define the packet format of the protocol. The programming tools are also required to accomplish the tasks of defining the state transition machine, defining network model and the process module. The GUI interface and the programming tools are also useful to help the user to build the system they want. OPNET inherently has three main functions: modeling, simulating, and analysis.
For modeling, it provides intuitive graphical environment to create all kinds of models of protocols. For simulating, it uses 3 different advanced simulations technologies and can be used to address a wide range of studies.
For analysis, the simulation results and data can be analyzed and displayed very easily. User friendly graphs, charts, statistics, and even animation can be generated b y OPNET for users ' convenience.
Recently, about at August 7, , OPNET Technologies announced the addition of two major application performance management capabilities. These capabilities include end-to-end visibility into application performance for organizations using WAN optimization solutions and the ability to capture and analyze NetFlow data. Moreover, OPNET always keeps an eye on the most recent users's requirements and keeps improving their product which make it very competitive compared with other commercial network simulators in the near expectable future.
NS2 is one of the most popular open source network simulators. The original NS is a discrete event simulator targeted at networking research. In this section, we will give a brief introduction to the NS2 system. The first version of NS was developed in and evolved a lot over the past few years. The current second version NS2 is widely used in academic research and it has a lot of packages contributed by different non-benefit groups.
First and foremost, NS2 is an object-oriented, discrete event driven network simulator which was originally developed at University of California-Berkely. The usage of these two programming language has its reason. The biggest reason is due to the internal characteristics of these two languages. I t's not easy to modify and assembly different components and to change different parameters without a very visual and easy-to-use descriptive language. Moreover, f or efficiency reason, NS2 separates control path implementations from the data path implementation.
So the combination of these two languages proves to be very effective. A simplified user's view of NS2 is shown in figure 2. The OTcl script is used to initiate the event scheduler, set up the network topology, and tell traffic source when to start and stop sending packets through event scheduler. The scenes can be changed easily by programming in the OTcl script. When a user wants to make a new network object, he can either write the new object or assemble a compound object from the existing object library, and plumb the data path through the object.
This plumbing makes NS2 very powerful. Another feature of NS2 is the event scheduler. In NS2, the event scheduler keeps track of simulation time and release all the events in the event queue by invoking appropriate network components. All the network components use the event scheduler by issuing an event for the packet and waiting for the event to be released before doing further action on the packet.
Similar to NS2, NS3 is also an open sourced discrete-event network simulator which targets primarily for research and educational use.
NS3 is designed to replace the current popular NS2. The major difference lying between NS3 and NS2 includes:. Figure 3 gives an example virtualization testbed of NS3. However, NS3 is still in the process and some major challenges still remain for NS3 to solve. The biggest one is that NS3 needs participation from the research community. Firstly, the simulation credibility needs to be improved. We know that one of the limitations of simulations, in general, is that it often suffers from lack of credibility.
Generally there are four points that are important for NS3 to solve this problem. They are:. Secondly, NS3 is intended to replicate the successful mode of NS 2 in which a lot of different organizations contributed to the models and components based on the framework of NS2.
The following figure illustrates this status:. One of the main challenges in WSNs is to decrease the cost and size. There are an increasing number of small companies producing WSN hardwires. Compared with the traditional wireless network, WSN has its own features, such as low cost and low energy consumption. To reduce cost, each sensor board has very limited onboard resource, such as computing speed, storage and energy source.
To achieve long lifetime with limited power supply usually batteries, onboard components are designed to consume energy as little as possible. For instance, the transmit power of radio is times smaller than the one in Wi-Fi routers.
WSN is always deployed in difficult-access areas; the ability of self-configuration is another design goal. Consequently, simulation is essential to study WSNs, being the common way to test new applications and protocols in the field. This leads to the recent boom of simulator development. However, obtaining solid conclusions from a simulation study is not a trivial task. There are two key aspects in WSNs simulators: 1 The correctness of the simulation models and 2 the suitability of a particular tool to implement the model.
The fundamental tradeoff is: precision and necessity of details versus performance and scalability. In the rest of this survey, several main-stream WSNs simulators are described and compared in more detail. However, Trace-Driven Simulation [Jain91] provides different services. This kind of simulation is commonly used in real system.
The simulation results have more credibility. It provides more accurate workload; these detail information allow users to deeply study the simulation model.
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