Flooding Routing Project Examples Using Omnet++

Flooding Routing using OMNeT++ project examples that we worked are listed below, if want to get projects based on Flooding Routing you can approach us, we provide you with best ideas and topics.

1. Performance Analysis of Basic Flooding in Ad-Hoc Networks:

• Objective: To execute and examine the performance of simple flooding routing in an ad-hoc network.
• Simulation Focus: To mimic a network where messages are broadcasted using a simple flooding algorithm. We calculate the metrics in terms of network congestion, packet delivery ratio, and redundancy. We can investigate the impact of network size and node density on flooding efficiency and performance.

2. Energy-Efficient Flooding in Wireless Sensor Networks (WSNs):

• Objective: We can improve an energy-efficient flooding protocol for use in WSNs, focussing to reduce energy consumption and extend network lifetime.
• Simulation Focus: To mimic a WSN environment where nodes use an optimized flooding algorithm that limits redundant transmissions. We can assess the impact on energy consumption, network lifetime, and data delivery success, comparing the results with basic flooding.

3. Controlled Flooding with Probabilistic Techniques:

• Objective: To execute the controlled flooding using probabilistic methods to decrease redundant message transmissions.
• Simulation Focus: We mimic a network where nodes are decide whether to forward a message based on a probability factor. Then we can evaluate the impact on network performance, containing delivery ratio, latency, and overhead, compared to traditional flooding.

4. Flooding with Sequence Numbers to Prevent Duplicates:

• Objective: To execute a flooding algorithm that uses sequence numbers to avoid the retransmission of duplicate messages.
• Simulation Focus: In the mimic a network where every single node tracks received messages using sequence numbers. We can estimate the impact on network congestion, message delivery time, and protocol overhead. Then, we can assess the effectiveness of sequence numbers in decreasing duplicates and enhancing efficiency.

5. Flooding in Delay-Tolerant Networks (DTNs):

• Objective: Adjust flooding routing for Delay-Tolerant Networks, where the network connectivity is intermittent.
• Simulation Focus: To mimic a DTN environment where flooding is used to make sure message delivery despite frequent disconnections. To calculate the protocol’s performance such as message delivery success, delay, and overhead in a challenging DTN scenario.

6. Adaptive Flooding Based on Node Mobility:

• Objective: To execute an adaptive flooding algorithm that modifies its parameters based on node mobility patterns.
• Simulation Focus: We can emulate a mobile network where nodes move at various speeds, and the flooding algorithm adjusts to maintain efficient message delivery and examine the impact on delivery ratio, latency, and network overhead, especially in high-mobility scenarios.

7. Flooding with Network Coding:

• Objective: We improve the flooding routing with network coding to develop throughput and resilience to packet loss.
• Simulation Focus: Mimic a network where messages are encoded and decoded during flooding, permitting for more effective use of bandwidth and improved reliability. Then we can compute the impact on throughput, delivery ratio, and latency compared to traditional flooding without coding.

8. Hierarchical Flooding in Large-Scale Networks:

• Objective: To execute the hierarchical flooding to develop scalability and reduce overhead in large-scale networks.
• Simulation Focus: We mimic a large-scale network where nodes are structured into clusters, and flooding is limited to cluster heads or higher-level nodes. Next we evaluate the impact on network scalability, routing overhead, and message delivery efficiency.

9. Security-Enhanced Flooding to Mitigate Attacks:

• Objective: To implement the security enhancements in flooding routing to defend against attacks like message tampering or flooding amplification.
• Simulation Focus: We emulate the scenarios in which security mechanisms, like message authentication or rate limiting, are applied to flooding routing. We compute the protocol’s resilience to attacks, aiming on metrics such as delivery integrity, overhead, and network performance.

10. Flooding with Geographic Constraints:

• Objective: To execute the flooding routing including geographic constraints, where messages are only forwarded in a particular geographic regions.
• Simulation: Focus: Simulate a network where the nodes use geographic information to limit the spread of flooding to related areas. We can calculate the effect on routing efficiency, overhead, and message delivery success, specifically in scenarios with geographically distributed nodes.

Over this module, we had given some instance examples regarding Flooding Routing projects that were implemented and simulated the projects using OMNeT++. Further details will be presented based on your requests.