GNS Network Simulator, facilitates incorporation with external tools and scripts for innovative functionalities and automation. Graphical interface-based network model and arrangement is majorly considered by GNS3. It is different from conventional simulators which create simulation scripts through particular programming languages. Relevant to GNS3, we suggest some project plans, its modules and characteristics, and details regarding programming languages and incorporation:

Project Plans

  1. Network Infrastructure Design and Testing:
  • Goal: Including redundant routes, firewalls for safety, and VPNs for remote access, a network architecture of a firm must be modeled. For safety risks and fault tolerance, the network has to be examined.
  • Expertise: Redundancy protocols (for instance: VRRP, HSRP), VPN and firewall setup, and network design concepts.
  1. SDN with OpenFlow:
  • Goal: In GNS3, a software-defined network (SDN) has to be configured with OpenFlow controllers and switches. On the basis of predetermined strategies, the network traffic must be handled in a dynamic manner.
  • Expertise: Controller setup (for instance: with Ryu or OpenDaylight), OpenFlow protocol, and SDN principles.
  1. IoT Network Simulation:
  • Goal: Encompassing edge computing devices, we aim to simulate an Internet of Things (IoT) network. Before transmitting the data to a cloud or central server, these devices should process data from IoT sensors.
  • Expertise: Enhancement of network efficacy, fundamentals of edge computing, and IoT protocols (such as CoAP, MQTT).
  1. Network Automation and Orchestration:
  • Goal: By incorporating with GNS3 devices, utilize Ansible or Python scripts to automate missions such as network arrangement and handling.
  • Expertise: YAML for Ansible playbooks, Python scripting, and network automation tools (like Paramiko, Netmiko, Ansible).
  1. Multi-Site Enterprise Network with Cloud Integration:
  • Goal: Include connections to cloud services (such as Azure, AWS) to model a multi-site enterprise network. Direct cloud linkage and site-to-site VPNs have to be encompassed.
  • Expertise: Dynamic routing protocols (like OSPF, BGP), VPN setup, and cloud networking.

GNS3 Modules and Characteristics

  • Graphical Interface: Along with virtual devices and linkages, it facilitates drag-and-drop network models.
  • Dynamips: Cisco IOS devices can be emulated using Dynamips.
  • QEMU: Enormous virtual devices are enabled by QEMU. It could involve hosts (Windows VMs and Linux), firewalls, and routers.
  • VirtualBox and VMware Integration: Across the GNS3 topology, a vast array of operating systems and network devices can be utilized.
  • Cloud Nodes: Incorporation with external networks and cloud services is efficiently supported.
  • Packet Capture: For packet capture and analysis in actual-time, it utilizes Wireshark.
  • API for Automation: Combination with external tools and scripts and automation are facilitated by GNS3 as it provides a REST API.

Programming Languages and Incorporation

To carry out simple network simulation, programming is not needed for GNS3. But, it is important to encompass programming when incorporating network automation and innovative functionalities:

  • Python: For processing simulation data, communicating with GNS3’s API, and scripting network automation missions, the Python language is utilized in an extensive manner.
  • Bash/Shell Scripting: In GNS3 topologies, the setup and arrangement missions can be automated on Linux-based virtual machines using this programming language.
  • Ansible: For network automation missions, Ansible is generally employed. It is not referred to as a programming language. It is specifically a configuration management tool utilized for playbook development with YAML.

Can you suggest a final year project in computer networks

Computer networking is a fast growing domain that involves various areas and interesting topics. By encompassing different factors of this domain, we recommend numerous project plans which are advanced as well as inspiring:

  1. Development of a Network Monitoring Tool
  • Aim: To track network traffic, identify faults or abnormalities in actual-time, and visualize network topology, an efficient software tool has to be modeled and applied.
  • Acquired Expertise: Data visualization methods, software creation, and network protocols analysis.
  1. Implementing a Secure IoT Network for Smart Home Systems
  • Aim: In order to regulate diverse smart home devices, an effective and secure IoT network must be developed. To safeguard from general risks, security protocols have to be considered.
  • Acquired Expertise: Application of cryptographic methods, network security, and IoT protocols (such as CoAP, MQTT).
  1. Designing a SDN-based Load Balancer for Data Center Networks
  • Aim: Plan to model a load balancer by means of Software-Defined Networking (SDN) concepts. In a data center, it should allocate traffic between servers in an effective manner.
  • Acquired Expertise: Algorithm structure for load balancing, network programming with OpenFlow, and SDN principles.
  1. Creating a VPN Comparison Framework
  • Aim: To assess and compare different Virtual Private Network (VPN) solutions, we intend to create a system. It is important to focus on their credibility, security, and functionality.
  • Acquired Expertise: Security evaluation methods, performance testing approaches, and VPN mechanisms.
  1. Wireless Network Optimization using Machine Learning
  • Aim: On the basis of application patterns and ecological states, the wireless network setups (for instance: power levels, channel selection) have to be enhanced by implementing machine learning techniques.
  • Acquired Expertise: Data analysis, wireless communication concepts, and fundamentals of machine learning.
  1. Building a Blockchain-based Secure Communication Protocol
  • Aim: For peer-to-peer network interactions, a safer and decentralized communication protocol should be created through the use of blockchain mechanisms.
  • Acquired Expertise: Protocol structure, cryptographic security techniques, and basics of blockchain.
  1. Developing a Network Simulation Toolkit
  • Aim: Without the need for actual hardware, the users must be enabled to examine network protocols and setups. To simulate different network topologies and contexts, we plan to develop a software toolkit.
  • Acquired Expertise: User interface design, software creation, and network simulation approaches.
  1. Investigating the Effects of Network Slicing in 5G Networks
  • Aim: Regarding network slicing across 5G networks, a research has to be carried out. For various kinds of network traffic, its implication should be investigated on resource allocation, security, and functionality.
  • Acquired Expertise: Performance analysis techniques, network slicing principles, and 5G network systems.
  1. Secure File Transfer Protocol with End-to-End Encryption
  • Aim: A secure file transfer protocol must be modeled and applied, which can safeguard data privacy and morality at the time of transmission by utilizing end-to-end encryption.
  • Acquired Expertise: Network programming, protocol structure, and cryptographic algorithms.
  1. Analyzing the Impact of Quantum Computing on Network Security
  • Aim: Consider how existing encryption techniques and network security protocols could be impacted by quantum computing and carry out an extensive analysis regarding this aspect.
  • Acquired Expertise: Assessment of security protocol, cryptanalysis, and fundamentals of quantum computing.

Emphasizing the GNS3 network simulator, we listed out some intriguing project plans, along with explicit goals and major expertise. Related to computer networking, a few compelling project plans are proposed by us, which you can consider for a final year project.

GNS Network Simulator Projects

GNS Network Simulator Projects with a well written paper and detailed simulation are provided by us, if you stay confused in any of your project area, let us know we will help you.

  1. A two-stage stochastic location–routing problem for electric vehicles fast charging
  2. Distributionally robust chance-constrained programming for multi-period emergency resource allocation and vehicle routing in disaster response operations
  3. Optimal routing for mass transit systems using multicriteria methodologies
  4. An oracle-based algorithm for robust planning of production routing problems in closed-loop supply chains of beverage glass bottles
  5. An adaptive large neighborhood search based approach for the vehicle routing problem with zone-based pricing
  6. Design and countermeasure of optimal cyber-routing attack on remote Kalman filter in stochastic microgrids
  7. Network periodic train timetabling with integrated stop planning and passenger routing: A periodic time–space network construct and ADMM algorithm
  8. Social cost-vehicle routing problem and its application to the delivery of water in post-disaster humanitarian logistics
  9. A digital twin framework for real-time ship routing considering decarbonization regulatory compliance
  10. A parallel heuristic for hybrid job shop scheduling problem considering conflict-free AGV routing
  11. A multi-visit flexible-docking vehicle routing problem with drones for simultaneous pickup and delivery services
  12. An Optimized Bio-inspired Localization Routing Technique for Sustainable IIoT Networks & Green Cities
  13. CMSTR: A Constrained Minimum Spanning Tree Based Routing Protocol for Wireless Sensor Networks
  14. Novel Fuzzy-based Objective Function for routing protocol for low power and lossy networks
  15. A parallel heuristic for hybrid job shop scheduling problem considering conflict-free AGV routing
  16. A hybrid Dragonfly algorithm for the vehicle routing problem with stochastic demands
  17. Anchor-based void detouring routing protocol in three dimensional IoT networks
  18. On optimizing healthcare waste routing systems using waste separation policies: A case study
  19. Dynamic channel estimation-aware routing protocol in mobile cognitive radio networks for smart IIoT applications
  20. System-level impacts of en-route information sharing considering adaptive routing