Network Simulation Tools List

Network simulation tools are a crucial component for examining the emerging nature of communication networks. Take a moment to explore our comprehensive Network Simulation Tools List. We carefully curate the tools based on your specific requirements. Don’t wait any longer, reach out to now and experience top-notch support from our team of expert researchers. Accompanied with peculiar capacities and its purposeful field of use, we provide a detailed list of network simulation tools:

  1. NS-2 / NS-3
  • Explanation: In educational settings, NS-2 (Network Simulator 2) and NS-3 (Network Simulator 3) are broadly utilized, which is a discrete-event network simulator. Across wired and wireless (local and satellite) networks, it efficiently assists simulations of multicast, IP and routing protocols.
  • Suitable for: It is developed especially for those who demand expansive protocol support and extensive simulation models and NS-2 and NS-3 tools are suitable in educational and learning objectives.
  1. OMNeT++
  • Explanation: Specifically for constructing network simulators, OMNeT++ is designed as an expandable, flexible and component -based C++ simulation library and environment. Among users, OMNeT++ is highly popular for its graphical simulation and portable platform.
  • Suitable for: Reflecting on different network protocols and systems, OMNeT++ offer assistance and simulate complicated wired and wireless networks.
  1. GNS3 (Graphical Network Simulator-3)
  • Explanation: For simulating sophisticated networks, GNS3 enables the users to synthesize virtual and real devices. Regarding practical network configuration evaluation, this simulator assists diverse vendors such as HP, Juniper and Cisco.
  • Suitable for: It helps the network experts those who are conducting an exploration on networking certifications and GNS3 is best for examining the network architectures and ensuring network configuration.
  1. Packet Tracer
  • Explanation: Packet Tracer is a network simulation and visualization tool and for its networking academy, it is modeled by Cisco systems and it is especially tailored for research objectives.
  • Suitable for: To interpret network activity, fundamentals of networking and training for Cisco certifications, this simulator provides assistance for scholars and professionals.
  1. Mininet
  • Explanation: Mininet is highly deployed for SDN (Software-Defined Networking) study and educational purposes. It is a publicly accessible network emulator. In the process of developing real-time virtual networks, executing real kernels, application code and switching on a single machine, Mininet plays a significant role.
  • Suitable for: Regarding academic representations, network experiments and instant prototyping of SDN applications, Mininet is more adaptable.
  1. NetSim
  • Explanation: Tetcos efficiently created this NetSim simulator which is an extensive network simulation and emulation tool. Encompassing MANETs, IoT, WSNs, VANETs and many more, this simulator assists a broad range of network simulations.
  • Suitable for: In diverse network prototypes, NetSim supports experts and explorers who require extensive protocol analysis and performance evaluation.
  1. EVE-NG (Emulated Virtual Environment Next Generation)
  • Explanation: Over various vendors, EVE-NG leverages several image types. For modeling and developing virtual networks, EVE-NG is very essential, as it is a network simulator that offers a GUI (Graphical User Interface).
  • Suitable for: This simulator is best for examining network setup before application, simulation of enterprise networks and network practice.
  1. Wireshark
  • Explanation: Wireshark is often a network protocol analyzer that examines the packet captures to evaluate and debug simulations by means of integrated network simulators.
  • Suitable for: Considering research objectives, troubleshooting network protocols and estimating network traffic created in simulations, this simulator is greatly applicable.
  1. OPNET (now Riverbed Modeler)
  • Explanation: For network analysis, simulation and modeling, OPNET is a suitable and extensive tool which has the potential of simulating huge enterprise networks with multiple technologies and devices.
  • Suitable for: It is beneficial for evaluating network performance and activity, learning purposes and enterprise network planning.
  1. Cooja
  • Explanation: Cooja is the simulator of Contiki OS. It efficiently enables the simulation networks of IoT devices which executes on Contiki. At network, firmware or hardware phase, Cooja might be simulating at any event.
  • Suitable for: Particularly for projects related to low-power wireless networks and Contiki OS and IoT network simulation, this simulator is more adaptable.

What are some open source tools for SDN software defined networking development testing and deployment?

For the purpose of SDN (Software-Defined Networking) enhancement, evaluation and utilization, the open-source association formulated multiple crucial tools and environments. In accordance with SDN work area, few publicly accessible tools along with its use cases are discussed here:

  1. OpenDaylight (ODL)
  • Explanation: ODL (OpenDayLight) is a segment of Linux Foundation’s Networking Projects and is a broadly utilized open-source SDN controller. For handling network devices, it offers a flexible environment which leverages different protocols such as Netconf, Openflow and others.
  • Applicable Areas: It productively involves data center network organization, network automation and virtual tenant networking.
  1. Floodlight
  • Explanation: For network communication, Floodlight is especially tailored which is portable and easy to expand. Basically, it is an Apache-licensed, Java-based open-source SDN controller.
  • Applicable Areas: Floodlight acts as a firm foundation for custom SDN controller enhancement, academic projects and smaller-scale SDN executions.
  1. Ryu
  • Explanation: To handle network devices, virtual networks and develop network applications, Ryu tool is very essential that offers software components and it is a component-based SDN environment. Incorporating OpenFlow, it assists several southbound protocols.
  • Applicable Areas: Specifically, Ryu is applicable for SDN controller development, SDN application enhancement and network exploration.
  1. Mininet
  • Explanation: Mininet is broadly applicable in SDN testing and development. To imitate an overall OpenFlow network with switches, routers, links and hosts, Mininet is a rapid virtual network on your laptop or other PC.
  • Applicable Areas: This tool is highly deployed for academic objectives, network topology evaluation and prototyping of SDN technologies.
  1. ONOS (Open Network Operating System)
  • Explanation: Considering the high performance, wide accessibility and adaptability, ONOS is tailored crucially and it is an open-source SDN controller. To construct reliable SDN networks, it mainly intends service providers.
  • Applicable Areas: For multi-layer network control, service provider and carrier networks and Intent-Based Networking, ONOS (Open Network Operating System) is broadly utilized.
  1. OVS (Open vSwitch)
  • Explanation: Based on the open source Apache 2.0 license, open vSwitch is developed which is an outstanding and multilayer virtual switch licensed tool. While still assisting the regular management interfaces and protocols, OVS is especially modeled for accessing the network automation by means of programmatic extensions.
  • Applicable Areas: OVS is a significant segment of virtualized framework such as OpenStack and it is beneficial for network performance verification and constructing programmable networks.
  1. P4
  • Explanation: Particularly for programming packet processors, P4 (Programming Protocol-independent Packet Processors) is tailored efficiently. To explain the switches, in what way it processes packets, P4 accesses the explorers and developers to direct the concept of SDN into practical experimentation.
  • Applicable Areas: In network packet processing, P4 is useful for conducting a study, high-speed packet processing and custom network protocol development.
  1. Wireshark
  • Explanation: For leveraging OpenFlow and other protocols, Wireshark is a significant network protocol analyzer, even though it is not absolutely an SDN tool. In the process of debugging network traffic and SDN applications, this tool plays an effective role.
  • Applicable Areas: The areas like descriptive incidents, troubleshooting SDN techniques and evaluating SDN protocol communications, this tool enact a significant role.
  1. GNS3
  • Explanation: To simulate complicated networks, GNS3 is widely deployed which is a network software emulator that enables the integration of virtual and real devices. For the purpose of examining and academic goals, it assists the synthesization process of virtual and real devices.
  • Applicable Areas: GNS3 is highly adaptable for certification training, network systems and developing and SDN testing with real and virtual devices.

Network Simulation Tools and Ideas

Network Simulation Tools Projects

At, we provide guidance to scholars by offering network simulation tools projects with the best source code and a concise explanation. Our aim is to support you with the best proposal that adheres to all protocols and aligns with the norms of your university.

  1. A toolset for efficient privacy-oriented virtual network embedding and its instantiation on SDN/OpenFlow-based substrates
  2. Protection Techniques using Resource Delayed Release for SDN-based OTN over WDM Networks
  3. Involvement of postnatal apoptosis and effects of developmental chemical exposure on SDN-POA formation in rats
  4. Local checkability, no strings attached: (A)cyclicity, reachability, loop free updates in SDNs
  5. Evaluating SDN based Rack-to-Rack Multi-path Switching for Data-center Networks
  6. Decision Making Framework with Stochastic Dynamicity: A Step Forward Towards SDN
  7. Augmenting flows for the consistent migration of multi-commodity single-destination flows in SDNs
  8. Cross-layer resource orchestration for cloud service delivery: A seamless SDN approach
  9. PPCU: Proportional per-packet consistent updates for SDNs using data plane time stamps
  10. Energy efficiency with QoS control in dynamic optical networks with SDN enabled integrated control plane
  11. Mobile operators and content providers in next-generation SDN/NFV core networks: Between cooperation and competition
  12. SDN-POA volume, sexual behavior, and partner preference of male rats affected by perinatal treatment with ATD
  13. The Industrial Internet of Things as an enabler for a Circular Economy Hy-LP: A novel IIoT protocol, evaluated on a wind park’s SDN/NFV-enabled 5G industrial network
  14. Performance analysis of SDN-specific error recovery procedures: Comparison of step-by-step and end-to-end schemes
  15. FogCom:SDN-enabled fog node selection for early detection of communicable diseases
  16. A fuzzy-based fast routing algorithm with guaranteed latency-throughput over software defined networks
  17. A reinforcement learning approach for widest path routing in software-defined networks
  18. A survey on routing protocols supported by the Contiki Internet of things operating system
  19. A high-performance fully adaptive routing based on software defined network-on-chip
  20. Hybrid ant colony and intelligent water drop algorithm for route planning of unmanned aerial vehicles
Opening Time


Lunch Time


Break Time


Closing Time


  • award1
  • award2