Dynamic Routing project examples using Omnet++

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1. Dynamic Routing with Real-Time Traffic Monitoring:

• Objective: Execute a dynamic routing algorithm that modifies routes based on real-time traffic conditions.
• Simulation Focus: Mimic a network where the routing algorithm endlessly observes traffic load and dynamically alters routes to optimize network performance. Examine the influence on metrics like latency, throughput, and congestion compared to static routing.

2. Dynamic Load Balancing in Multi-Path Routing:

• Objective: Enhance a dynamic routing protocol that balances network load across several ways to avoid congestion.
• Simulation Focus: Mimic a network where traffic is dynamically dispersed across various ways based on present network conditions. Evaluate the impact on network performance, comprising latency, throughput, and load distribution. Liken the dynamic method with traditional multi-path routing.

3. Energy-Efficient Dynamic Routing in Wireless Sensor Networks (WSNs):

• Objective: Execute an energy-efficient dynamic routing protocol for WSNs that adjusts routes based on node energy levels and network conditions.
• Simulation Focus: Mimic a WSN where nodes dynamically modify their routing decisions to expand network lifetime. Calculate the protocol’s performance such as energy efficiency, network lifetime, and data delivery success. Liken the results with static and non-adaptive routing protocols.

4. Dynamic Routing in Mobile Ad-Hoc Networks (MANETs):

• Objective: Execute a dynamic routing protocol that responds to node mobility and topology alters in MANETs.
• Simulation Focus: Emulate a MANET with high node mobility, where the dynamic routing protocol endlessly modifies routes to maintain connectivity. Evaluate metrics like route stability, packet delivery ratio, and convergence time, comparing the outcomes with traditional MANET routing protocols.

5. Dynamic Routing with Quality of Service (QoS) Support:

• Objective: Execute dynamic routing with QoS support to prioritize traffic based on service requirements.
• Simulation Focus: Mimic a network with various kinds of traffic such as VoIP, video, data and execute a dynamic routing protocol that adjusts routes to maintain QoS. Investigate the metrics like latency, jitter, and packet loss for high-priority traffic.

6. Security-Enhanced Dynamic Routing:

• Objective: Execute security mechanisms in dynamic routing protocols to defend versus routing attacks and make sure data integrity.
• Simulation Focus: Mimic scenarios with potential security threats, like route tampering or spoofing, and examine how the dynamic routing protocol responds to these challenges. Estimate the impact of security enhancements on routing efficiency, overhead, and network security.

7. Dynamic Routing in Software-Defined Networks (SDN):

• Objective: Execute dynamic routing in an SDN environment, where a central controller dynamically modifies routing paths based on network conditions.
• Simulation Focus: Mimic an SDN environment where the controller continuously observes network performance and alters routes to optimize efficiency. Examine the assistances of centralized dynamic routing, concentrate on metrics like latency, throughput, and network flexibility.

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

• Objective: Improve a dynamic routing protocol for DTNs that adjusts to changing levels of connectivity and delay.
• Simulation Focus: Mimic a DTN environment where connectivity is intermittent, and the dynamic routing protocol modifies routes based on the availability of nodes and network conditions. Assess the protocol’s performance in terms of message delivery success, delay, and overhead.

9. Adaptive Dynamic Routing for Heterogeneous Networks:

• Objective: Execute an adaptive dynamic routing protocol for heterogeneous networks, where nodes have changing capabilities like energy, bandwidth.
• Simulation Focus: Mimic a heterogeneous network with various kinds of nodes and evaluate how the dynamic routing protocol optimizes routing decisions based on node capabilities and network conditions. Calculate the impact on network performance, containing throughput, latency, and resource utilization.

10. Dynamic Routing with Predictive Algorithms:

• Objective: Execute a dynamic routing protocol that uses predictive algorithms to anticipate network changes and modify routes consequently.
• Simulation Focus: Mimic a network where the dynamic routing protocol predicts future traffic patterns, node movements, or failures and pre-emptively alters routes. Investigate the efficiency of predictive routing in maintaining network performance and decreasing latency.

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