Distance vector routing project examples using omnet++

Distance Vector Routing using OMNeT++ tool we have listed some of the fresh project ideas get your work done from us , we share with you a clear objective along with detailed explanation  :

1. Performance Analysis of Distance Vector Routing (DVR) in MANETs:

• Objective: Execute and examine the performance of Distance Vector Routing in a Mobile Ad-Hoc Network (MANET).
• Simulation Focus: Mimic a MANET environment with nodes using DVR. Assess the protocol’s performance such as route discovery time, packet delivery ratio, routing overhead, and scalability under various mobility patterns and network sizes.

2. Comparison of Distance Vector Routing with Link State Routing:

• Objective: Liken the performance of Distance Vector Routing (DVR) with Link State Routing (LSR) in an emulated network.
• Simulation Focus: Mimic a network with both DVR and LSR protocols running on various sets of nodes. Compute and compare metrics like convergence time, routing overhead, and scalability in response to network topology changes and differing traffic loads.

3. Enhanced Distance Vector Routing with Split Horizon and Poison Reverse:

• Objective: Execute improvements to Distance Vector Routing, like Split Horizon and Poison Reverse, to avoid routing loops.
• Simulation Focus: Mimic a network with these improvements and calculate their effectiveness in avoiding routing loops. Compare the performance of the improved DVR with the standard version in terms of loop occurrence, convergence time, and network stability.

4. Energy-Efficient Distance Vector Routing in Wireless Sensor Networks (WSNs):

• Objective: Improve an energy-efficient variant of Distance Vector Routing for use in Wireless Sensor Networks (WSNs).
• Simulation Focus: Mimic a WSN environment where nodes use an energy-aware DVR protocol. Consider the protocol’s impact on network lifetime, energy consumption, and data delivery success. Liken the results with a standard DVR execution in terms of energy efficiency and network performance.

5. Distance Vector Routing in Large-Scale Networks:

• Objective: Estimate the scalability of Distance Vector Routing in large-scale networks with hundreds or thousands of nodes.
• Simulation Focus: Mimic a large-scale network and evaluate how well DVR scales with increasing network size. Examine metrics like routing table size, update frequency, and overall network performance. Find the challenges and limitations of DVR in managing large networks.

6. Secure Distance Vector Routing:

• Objective: Execute security improvements in Distance Vector Routing to defend versus attacks such as route poisoning or spoofing.
• Simulation Focus: Mimic a network where DVR is augmented with security features such as authentication and encryption. Estimate the protocol’s resilience to attacks, attention on the metrics such as routing integrity, overhead, and performance impact.

7. Adaptive Distance Vector Routing with Load Balancing:

• Objective: Improve an adaptive version of Distance Vector Routing that integrates load balancing to optimize network resource usage.
• Simulation Focus: Mimic a network where DVR dynamically modifies routes based on present network load and traffic patterns. Investigate the impact on network congestion, throughput, and overall performance. Liken the adaptive DVR with the standard version in terms of load distribution and efficiency.

8. Distance Vector Routing for Delay-Tolerant Networks (DTNs):

• Objective: Adjust Distance Vector Routing for use in Delay-Tolerant Networks (DTNs), where network connectivity is intermittent.
• Simulation Focus: Mimic a DTN environment with nodes using modified DVR protocol. Compute the protocol’s performance in terms of message delivery success, delay, and overhead. Liken the performance with other DTN routing protocols such as Epidemic Routing.

9. Distance Vector Routing in Vehicular Ad-Hoc Networks (VANETs):

• Objective: Execute and evaluate Distance Vector Routing in a Vehicular Ad-Hoc Network (VANET).
• Simulation Focus: Mimic a VANET scenario with high node mobility and dynamic topology changes. Determine the impact on route stability, packet delivery ratio, and convergence time. Compare the performance of DVR with other VANET-specific routing protocols.

10. Distance Vector Routing with QoS Support:

• Objective: Execute Quality of Service (QoS) mechanisms in Distance Vector Routing to prioritize particular kinds of traffic, like VoIP or video streaming.
• Simulation Focus: Mimic a network with mixed traffic types and use QoS policies within the DVR protocol. Investigate the impact on latency, jitter, and packet loss for high-priority traffic. Liken the performance of QoS-enhanced DVR with the standard version in maintaining service quality.

Overall, we had executed some sample examples to implement and analyse the performance of Distance vector routing project using OMNeT++. We will be offered further details about this projects as required.