There are several network simulation software and each plays a major role in different research objectives. We guide students on all levels of network simulation projects with best software and simulation ideas . All your work will be kept highly confidential to ease your work get experts’ solution. Along with specific applicable areas and characteristics, we provide a set of most popular network simulation software:
- NS-2 / NS-3
- Outline: Network simulator 2 (NS-2) and its novel version NS-3 is highly helpful in educational-based research, particularly for the simulation of wireless as well as wired networks. These are considered as discrete-event network simulators.
- Benefits: It has wider documentation, engaging committee assistance, and a vast range of network protocols. To change NS-2, NS-3 is specifically modeled that provides model creation in an easy way, and highly precise simulation process.
- OMNeT++
- Outline: For developing network simulators, OMNeT++ is very useful, and is referred to as a flexible, extensible, component-related C++ simulation framework and library. It is specifically familiarized in an extensive manner for its graphical simulation platform and adaptable nature.
- Benefits: To simulate complicated wireless and wired networks, OMNeT++ offers robust assistance. For internet-related simulations, it has extensive accessible frameworks and models such as INET.
- GNS3 (Graphical Network Simulator-3)
- Outline: GNS3 supports the simulation of complicated networks by enabling the integration of actual and virtual devices. For specialized network configuration testing, it is highly ideal because of assisting different vendors such as HP, Juniper, and Cisco.
- Benefits: By employing real device software images, it enables practical network simulations, thus similarly imitating actual-world arrangements.
- Packet Tracer
- Outline: Packet Tracer is considered as a network simulation and visualization tool. Cisco Systems created the Packet Tracer specifically for its Networking Academy. For academic objectives, this tool is majorly modeled. To learn networking protocols and principles, it also assists scholars.
- Benefits: It is more suitable for CCNP/CCNA preparation and best for learners. It also offers a wide range of assistance for Cisco device simulations and has a more accessible interface.
- Mininet
- Outline: In the process of developing practical virtual networks, executing actual kernel, application code, and switch on a single computer, Mininet is highly expert and is examined as an openly available network emulator. Particularly for the exploration based on Software-Defined Networking (SDN), it is broadly utilized.
- Benefits: Mininet has the ability to develop extensive virtual networks on uncertain hardware, and emphasized as effective as well as lightweight. For OpenFlow-related networks, it provides assistance directly.
- NetSim
- Outline: NetSim is created by Tetcos, and is referred to as an extensive network simulation and emulation tool. It also provides elaborate research-based characteristics by assisting a vast array of network protocols and mechanisms.
- Benefits: NetSim encompasses performance analytics and indicators. It also involves various mechanisms from IoT to LTE, WSN, MANETs, and others and has a wide range of protocol libraries for them.
- EVE-NG (Emulated Virtual Environment Next Generation)
- Outline: EVE-NG is a network emulator which enables users to utilize actual as well as virtual devices for configuring virtual networking. It is employed for the design and simulation of networks and assists several kinds of image within various vendors.
- Benefits: For training, creation, and testing of a network, EVE-NG offers an integrated environment. It facilitates combination with exterior tools and emulation of several devices of vendors.
- Wireshark
- Outline: To examine and debug simulations by exploring packet captures, Wireshark can be utilized together with network simulators even though it is majorly considered as a network protocol analyzer.
- Benefits: Along with the assistance for numerous protocols, it has detailed packet assessment abilities. To divide and examine network traffic that is produced in simulations, it has robust capabilities.
- OPNET (now Riverbed Modeler)
- Outline: For the designing and simulation of networks, OPNET is very useful and referred to as an extensive tool. To simulate a wide range of enterprise networks under diverse applications and devices, it has an efficient ability.
- Benefits: In addition to its enhanced analytics and reporting abilities, it is highly effective for its in-depth modeling of network activity and performance. For enterprise network design and educational-based exploration, it is more appropriate.
What can be an easy thesis research topic for SDN Software Defined Networking for beginners in Masters?
Software-Defined Networking provides different opportunities for research, due to its centralized network management and classification of the control plane from the data plane. The following are various compelling as well as attainable SDN-based research topics that could be appropriate for learners to carry out thesis work:
- Performance Analysis of SDN Controllers
- Outline: On the basis of resource usage, throughput, and latency with different network states, the performance of various SDN controllers such as Floodlight, Ryu, and OpenDaylight has to be compared.
- Explanation: For modeling effective SDN networks, it is most significant to interpret the performance features of SDN controllers.
- SDN-Based Network Security Solutions
- Outline: The major aim is to study in what way network safety can be improved by SDN through centralized control. Some of the basic application areas such as dynamic access control lists (ACLs) by employing SDN, and applying network segmentation could be explored.
- Explanation: To enhance safety measures in an efficient manner, centralized interpretation of the network and adaptable nature of SDN can be utilized.
- Network Function Virtualization (NFV) with SDN
- Outline: The combination of SDN along with NFV mechanisms has to be analyzed. Some particular network functions like load balancers and firewalls and how its placement can be handled and automated by SDN are the major considerations of this project.
- Explanation: Through virtualizing network services and centralizing control, both SDN and NFV are capable of improving network effectiveness and adaptability in a robust manner.
- SDN for IoT Network Management
- Outline: Explore in what way management issues in IoT networks can be solved by SDN, and it could include improvement of safety among the network framework and IoT devices or reinforcement of traffic flow.
- Explanation: A dynamic network management and highly adaptable approach such as SDN can be required by the difficulty and emerging number of IoT placements.
- Quality of Service (QoS) in SDN
- Outline: To make sure whether the major applications obtain the required necessities related to latency and bandwidth, apply and handle QoS strategies in SDN networks by investigating technologies.
- Explanation: For adapting network resources in a dynamic manner to align with QoS requirements, the centralized control of SDN is considered as specifically appropriate.
- Energy-Efficient Networking through SDN
- Outline: In order to minimize energy usage in networks through altering the utilization of network framework with respect to requirements, create policies by employing SDN.
- Explanation: For enterprise networks and data centers, energy effectiveness is referred to as an emerging consideration. To reduce utilization of energy, SDN also provides new techniques.
- SDN-Enabled WAN Optimization
- Outline: With the aim of enhancing the efficiency of inter-site interactions, utilize SDN mechanisms to structure a model for the improvement of Wide Area Network (WAN).
- Explanation: Specifically for improving the credibility and effectiveness of WAN, SDN are capable of offering novel techniques. For the industries with shared functionalities, improvement of WAN is most significant.
Network Simulation Software Projects
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- EVaaS: Electric vehicle-as-a-service for energy trading in SDN-enabled smart transportation system
- Prenatal administration of letrozole reduces SDN and SCN volume and cell number independent of partner preference in the male rat
- Cloud and network orchestration in SDN data centers: Design principles and performance evaluation
- SDN-based energy management scheme for sustainability of data centers: An analysis on renewable energy sources and electric vehicles participation
- A user-centric SDN management architecture for NFV-based residential networks
- TD-LTE virtual cells: An SDN architecture for user-centric multi-eNB elastic resource management
- Combining OpenFlow and sFlow for an effective and scalable anomaly detection and mitigation mechanism on SDN environments
- Enabling Adaptive Routing Service Customization via the integration of SDN and NFV
- The potential savings of SDN compliant sub-wavelength switching as a future carrier grade solution for the metropolitan network
- Novel resource allocation mechanism for SDN-based data center networks
- Adaptive and reliable multipath provisioning for media transfer in SDN-based overlay networks
- The role of the inter-controller consensus in the placement of distributed SDN controllers
- CIPA: A collaborative intrusion prevention architecture for programmable network and SDN
- Optimal and dynamic virtual datacenter provisioning over metro-embedded datacenters with holistic SDN orchestration
- BEST: Blockchain-based secure energy trading in SDN-enabled intelligent transportation system
- Application-aware service provisioning and restoration in SDN-based multi-layer transport networks
- Toward efficient parallel routing optimization for large-scale SDN networks using GPGPU
- Performance Analysis of SDN-based Global Mobility Support Scheme in Smart Factory Networks
- Research on Feedback-Sensitive Resource Mapping Algorithm Based On Simulated Annealing in SDN
- A Speculative Control Mechanism of Cloud Computing Systems Based on Emergency Disaster Information Using SDN