Visual node module: An open-source extension to the ns-3 network simulator

2020 ◽  
Vol 33 (12) ◽  
pp. e4451
Author(s):  
Afaf Mosaif ◽  
Said Rakrak
Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2485
Author(s):  
Shakir Ullah ◽  
Saeed Ur Rehman ◽  
Peter Han Joo Chong

Light Fidelity (LiFi) is a new candidate for wireless networking that utilizes the visible light spectrum and exploits the existing lighting infrastructure in the form of light-emitting diodes (LEDs). It provides point-to-point and point-to-multipoint communication on a bidirectional channel at very high data rates. However, the LiFi has small coverage, and its optical gain is closely related to the receiver’s directionality vis-à-vis the transmitter, therefore it can experience frequent service outages. To provide reliable coverage, the LiFi is integrated with other networking technologies such as wireless fidelity (WiFi) thus forming a hybrid system. The hybrid LiFi/WiFi system faces many challenges including but not limited to seamless integration with the WiFi, support for mobility, handover management, resource sharing, and load balancing. The existing literature has addressed one or the other aspect of the issues facing LiFi systems. There are limited free source tools available to holistically address these challenges in a scalable manner. To this end, we have developed an open-source simulation framework based on the network simulator 3 (ns-3), which realizes critical aspects of the LiFi wireless network. Our developed ns-3 LiFi framework provides a fully functional AP equipped with the physical layer and medium access control (MAC), a mobility model for the user device, and integration between LiFi and WiFi with a handover facility. Simulation results are produced to demonstrate the mobility and handover capabilities, and the performance gains from the LiFi-WiFi hybrid system in terms of packet delay, throughput, packet drop ratio (PDR), and fairness between users. The source code of the framework is made available for the use of the research community.


Author(s):  
Ratish Agarwal ◽  
Piyush Kumar Shukla ◽  
Sachin Goyal

Communication is a very important area of research in the present era. Expansion of globalization and reduction in the cost of electronic devices has made communication very effective. A large number of researchers from academics and industries are involved in the research on communication and networks. Any novel idea has to be verified on the simulator. A number of simulators are available for network simulations such as Network Simulator (NS2 and NS3), OPNET, NetSim, OMNeT++, REAL, J-Sim and QualNet. NS is an open-source simulation tool that runs on Linux. It is a discreet event simulator for networking research and provides substantial support for simulation of routing, multicast and IP protocols. This chapter provides an overview of NS in a much simpler way. At the completion of this chapter readers will be able to write tcl script to simulate a scenario of network. Every simulation on NS generates a huge trace file; the study of this can be done with the help of AWK script.


2017 ◽  
Vol 34 (2) ◽  
pp. 193-201 ◽  
Author(s):  
Matheus A. Cavalcante ◽  
Helder A. Pereira ◽  
Raul C. Almeida

2022 ◽  
pp. 1-33
Author(s):  
Sercan Demirci ◽  
Serhat Celil Ileri ◽  
Sadat Duraki

Theoretical applications and practical network algorithms are not very cost-effective, and most of the algorithms in the commercial market are implemented in the cutting-edge devices. Open-source network simulators have gained importance in recent years due to the necessity to implement network algorithms in more realistic scenarios with reasonable costs, especially for educational purposes and scientific researches. Although there have been various simulation tools, NS2 and NS3, OMNeT++ is more suitable to demonstrate network algorithms because it is convenient for the model establishment, modularization, expandability, etc. OMNeT++ network simulator is selected as a testbed in order to verify the correctness of the network algorithms. The study focuses on the algorithms based on centralized and distributed approaches for multi-hop networks in OMNeT++. Two network algorithms, the shortest path algorithm and flooding-based asynchronous spanning tree algorithm, were examined in OMNeT++. The implementation, analysis, and visualization of these algorithms have also been addressed.


IEEE Access ◽  
2017 ◽  
Vol 5 ◽  
pp. 22144-22158 ◽  
Author(s):  
Adel Aldalbahi ◽  
Michael Rahaim ◽  
Abdallah Khreishah ◽  
Moussa Ayyash ◽  
Thomas D. C. Little

2019 ◽  
Vol 8 (2) ◽  
pp. 5111-5116

In this research work, we propose two realistic mobility models named as location based realistic mobility model and route based realistic mobility model. In location based realistic mobility model speed and velocity is updating and route based realistic mobility model implies how many routes are available. With these models the targeted position is set and vehicles are moving according to the same position. Hence the problem of routing is resolved which is encountered in existing realistic mobility model. For implementation of our models, we use open source software named as network simulator NS-3 and traffic simulator MOVE with SUMO. We also compare our models with the existing realistic models in terms of performance matrices: packet loss, throughput and transmission delay. Since the vehicles are moving according to targeted position, so as application aspects we predict accidents and lots of traffic and with the help of prediction we will choose some optimal solutions.


Author(s):  
Irin Dorathy ◽  
M. Chandrasekaran

Simulation tools are essential for validating any research idea before it is being implemented. This is very essential for all the researchers irrespective of the field of research. Simulators provide a way for analysing the design.There are many simulation tools available for the network researchers. Network Simulators are used to test the performance of existing or new algorithms and protocols.Some of the simulation tools in networking include OPNET (OPtimized Network Engineering Tool), NS-2 (Network Simulator version 2), OMNET++ (Objective Modular NETwork Testbed in C++), GloMoSim (Global Mobile Information System Simulator), QualNet, NetSim (Network Simulator), JiST/SWANS (Java in Simulation Time/ Scalable Wireless Network Simulator), J-Sim (Java-based simulation) and NS-3 (Network Simulator Version 3). Simulation tools may be open source or commercial. In this paper, both the open source and commercial simulators are discussed. This survey reveals that for simulating large networks, simulators like OPNET, GloMoSim, QualNet, NetSim, JiST/SWANs and NS-3 can be used. For small network simulation NS-2 and J-Sim can be preferred. Open source simulators are poor in documentation. Commercial simulators have good documentation. Based on the requirements of the research, a proper simulation tool can be selected.


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