List of Network Simulators

List of Network Simulators Topics followed by some simulation ideas that can be explored along with tools are discussed below, we are ready to help you with customised reasech proposal help. Network simulators are utilized for assessing and exploring various network protocols, arrangements, and traffic trends without requiring physical hardware. Every simulator with its specific characteristics and abilities, we provide a collection of popular network simulators, accompanied by few simulation plans which could be investigated with the support of these tools:

List of Network Simulators

  1. NS-2 / NS-3
  • Characteristics: These are discrete- event, openly available network simulators. For study and learning objectives, these are employed in an extensive manner. Typically, for advanced networking mechanisms, enhanced assistance is provided by NS-3 which is the next generation of NS-2.
  1. OMNeT++
  • Characteristics: For constructing network simulators, OMNeT++ is employed which is defined as a flexible, expandable, component-based simulation library and model. For simulating telecommunication networks, protocols, wireless and wired networks, it is recognized for its robust assistance.
  1. Mininet
  • Characteristics: On a single machine, it concentrates on emulating an entire network of links, switches, and hosts. For SDN (Software-Defined Networking) study and advancement, Mininet is employed in a widespread manner.
  1. GNS3 (Graphical Network Simulator-3)
  • Characteristics: The incorporation of actual and virtual devices are enabled to simulate complicated networks by GNS3 which is an openly available network software emulator. GNS3 is perfect for performing networking documentation and assists a broad scope of router/switch firmware images.
  1. OPNET (now Riverbed Modeler)
  • Characteristics: OPNET is referred to as a commercial network simulator. For network designing and simulation, it is utilized. Generally, elaborate frameworks of network mechanisms and protocols are provided by this simulator. Mainly, for network planning and R&D, it is employed in the educational institution and business.
  1. NetSim
  • Characteristics: For network simulation and emulation, NetSim is considered an extensive tool. A broad range of wireless and wired network protocols could be assisted. For network training, study, and network model, it is widely utilized.
  1. Cooja
  • Characteristics: Concentrating on wireless sensor networks and IoT (Internet of Things), it is the network simulator for Contiki OS. It enables the creation of IoT applications and simulation of networks of low-power devices.

Simulation Plans

  1. 5G Network Performance
  • Goal: Under various mobility trends and user densities, assess performance metrics such as network capacity, throughput, and latency through simulating a 5G cellular network.
  1. SDN Controller Strategies
  • Goal: In handling network traffic, protection, and resource allotment in a data center platform, we plan to contrast the effectiveness of various SDN controllers such as OpenDaylight vs. Ryu.
  1. IoT and Smart City Applications
  • Goal: On energy utilization and network effectiveness, investigate the influence of IoT device density by simulating an IoT network for a smart city application like traffic management or smart lighting.
  1. Wireless Sensor Network (WSN) for Environmental Monitoring
  • Goal: As a means to examine network lifespan and data gathering effectiveness, a simulation of a wireless sensor network ought to be developed which is implemented on ecological tracking such as humidity, temperature.
  1. Network Security Protocols
  • Goal: In preventing different cyber assaults in a business network platform, our team intends to assess the performance of various network security protocols such as SSL/TLS, IPsec.
  1. Multi-Protocol Label Switching (MPLS) Network Design
  • Goal: For enhancing bandwidth consumption and decreasing latency, examine ideal routing policies and traffic engineering approaches through modeling and simulating an MPLS.
  1. Vehicular Ad-hoc Networks (VANETs)
  • Goal: For applications such as traffic information systems and collision avoidance, focus on investigating vehicle-to-infrastructure (V2I) and vehicle-to-vehicle (V2V) communication protocols through simulating a VANET.

Can someone help me understand NS-3 tool

For facilitating the research of network activities under different arrangements and situations, NS-3 as a tool enables users to develop complicated network models on a computer excluding the requirement for physical devices. We recommend a classification that assists you to interpret NS-3 in an effective manner:

Fundamental Characteristics of NS-3

  • Discrete-event Simulation: On the basis of discrete-event simulation, NS-3 functions in an effective manner. In which, through hopping from one incident like transmitting a packet to another, the time frame of the simulation is developed. The accurate regulation across network communications and processes are enabled.
  • Written in C++ with Python Bindings: For assuring high effectiveness and adaptability, the basis of NS-3 is written in C++. Simulations to be written and regulated with the aid of Python are enabled, since Python bindings are accessible. For those who choose Python across C++, these are available.
  • Widespread Model Library: Specifically, NS-3 is versatile for simulating a broad scope of network kinds and mechanisms, and encompasses an extensive scope of frameworks for physical layers like WiMAX, Wi-Fi, LTE, etc., network protocols such as HTTP, TCP, UDP, etc., and devices like PCs, routers, switches, etc.
  • Real-world Network Emulation: For integrating simulation and actual world assessment, actual software such as a routing daemon could be executed within the simulation platform by means of the Direct Code Execution characteristic.

Utilizing NS-3

  • Installation: On different UNIX-based environments like macOS, Linux, NS-3 could be installed. Generally, the installation of numerous reliances are needed. In the NS-3 document, elaborate installation instructions are offered.
  • Developing Simulations: As a means to explain the network topology, indicate traffic sources, set up links and nodes, and configure protocols, simulations in NS-3 are examined as scripts. In Python or C++, these scripts could be written.
  • Executing Simulations: Within the NS-3 platform, a simulation script could be implemented, as soon as it is written. Due to its capability to record or visualize incidents, like packet transfer and responses, NS-3 simulates the specified networks.
  • Examining Outcomes: For exploring simulation outcomes, NS-3 offers effective tools. Typically, built-in tracing and logging technologies could be encompassed. As well as, for more thorough exploration or visualization, external tools could be employed to process output files in an effective manner.

Usual Applications Areas

  • Protocol Assessment: Under different settings, for examining and assessing the effectiveness of previous or newly created protocols, NS-3 could be employed by scholars.
  • Network Design: Through enabling users to simulate and examine various network infrastructures and arrangements, NS-3 could support in modeling networks.
  • Educational Tool: For students gaining insights into networking concepts and mechanisms, NS-3 plays a crucial role as a robust education tool along with its widespread library and capability to simulate actual world settings.

Learning NS-3

  • Documentation and Tutorials: Encompassing seminars for novel users, API references, and instructions for innovative topics, the NS-3 blog provides the widespread document.
  • Community and Support: Users could inquire queries and disseminate expertise through mailing lists and forums. Therefore, the NS-3 committee is considered as highly beneficial and effective.
  • Workshops and Courses: Practical educational experiences could be offered by NS-3 programs and workshops which are conducted at crucial networking discussions.

Through this article, we have suggested a set of prevalent network simulators, along with a few simulation plans which might be investigated through the utilization of these tools. As well as, a categorization that supports you to comprehend NS-3 in an efficient way are offered by us obviously.

List Of Network Simulators Projects

List Of Network Simulators Projects that we have successfully completed on  numerous simulator projects and received outstanding feedback globally are listed below. There exists a wide array of network simulators and various networking domains that can inspire countless innovative ideas. We have a dedicated team focused on networking projects, recognizing it as a vast domain with limitless possibilities. Our team consistently stays informed about the latest tools and concepts in the field of networking.

  1. Environmental accounting and efficient energy use in indoor spaces
  2. Spatialized system to monitor vine flowering: Towards a methodology based on a low-cost wireless sensor network
  3. Charging UAV deployment for improving charging performance of wireless rechargeable sensor networks via joint optimization approach
  4. Secure communication over wireless sensor network using image steganography with generative adversarial networks
  5. An adaptive gain based approach for event-triggered state estimation with unknown parameters and sensor nonlinearities over wireless sensor networks
  6. HFLFO: Hybrid fuzzy levy flight optimization for improving QoS in wireless sensor network
  7. PPFchain: A novel framework privacy-preserving blockchain-based federated learning method for sensor networks
  8. Self-improved butterfly optimization algorithm based cooperative routing model in Wireless Multimedia Sensor Networks
  9. Study on energy efficient routing protocols scheme in heterogeneous wireless sensor networks (network & mobility)
  10. An energy efficient cluster based hybrid optimization algorithm with static sink and mobile sink node for Wireless Sensor Networks
  11. Predicting indoor air temperature and thermal comfort in occupational settings using weather forecasts, indoor sensors, and artificial neural networks
  12. Temperature and pressure sensitive ionic conductive triple-network hydrogel for high-durability dual signal sensors
  13. FIS-RGSO: Dynamic Fuzzy Inference System Based Reverse Glowworm Swarm Optimization of energy and coverage in green mobile wireless sensor networks
  14. Solvent frost heave-driven relaxation of conductive network in carbon blacks/polyurethane fibers towards highly sensitive sensor
  15. Measurement of a compact Boomarang-shaped microstrip antenna for wireless sensor network applications
  16. Energy efficient scheme for better connectivity in sustainable mobile wireless sensor networks
  17. Scalable asynchronous localization algorithm with mobility prediction for underwater wireless sensor networks
  18. Exploiting perturbed and coalescent anchor node geometry with semidefinite relaxation for sensor network localization
  19. General-purpose sensor message parser using recurrent neural networks with stack memory
  20. A nonlinear industrial soft sensor modeling method based on locality preserving stochastic configuration network with utilizing unlabeled samples